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Gibson CJ, Bahorik A, Xia F, Peltz C, Yaffe K. Intimate Partner Violence, Mental Health, and Aging-Related Health Among Men and Women Veterans Across the Lifespan. J Gen Intern Med 2024; 39:931-939. [PMID: 37962725 DOI: 10.1007/s11606-023-08466-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/06/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND A growing body of evidence suggests adverse health outcomes related to intimate partner violence (IPV), including traumatic brain injury (TBI). However, most research in this area has focused on reproductive-aged women. OBJECTIVE To examine relationships between IPV (with and without TBI), mental health, and aging-related health outcomes among men and women Veterans across the lifespan. DESIGN Cross-sectional analysis of Department of Veterans Affairs (VA) administrative data from fiscal years 2000-2019. Descriptive statistics and chi-square analyses were used to compare key comorbidities in matched samples of Veterans with and without IPV (gender-stratified and matched 1:3 based on demographics and index date). Comparisons between those with IPV and TBI relative to IPV alone were also examined. SUBJECTS Veterans aged 18 + with and without documented IPV in Department of Veterans Affairs (VA) electronic health records (n = 4108 men, 2824 women). MAIN MEASURES ICD codes were used to identify IPV, TBI, and aging-related medical (sleep disorder, hypertension, diabetes, dementia) and common psychiatric (depression, posttraumatic stress disorder, alcohol use disorder, and substance use disorder) diagnoses. KEY RESULTS Demographic characteristics were reflective of VA-enrolled Veterans (men: mean age 66, SD 16; 72% non-Hispanic White; women: mean age 47, SD 13; 64% non-Hispanic White). Relative to Veterans without IPV, both men and women with IPV had higher rates of all examined medical (e.g., sleep disorders, men: 33% vs. 52%; women: 45% vs. 63%) and psychiatric diagnoses (e.g., depression, men 32% vs. 74%; women 59% vs. 91%; all ps < .001), with evidence of an additive effect of TBI on some psychiatric outcomes. CONCLUSIONS IPV is broadly associated with aging-related and mental health, and TBI is a common correlate that may further contribute to psychiatric outcomes. Findings highlight the importance of trauma-informed care and recognizing the potential role of these exposures on men and women Veterans' health across the lifespan.
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Affiliation(s)
- Carolyn J Gibson
- San Francisco VA Health Care System, San Francisco, CA, USA.
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.
| | - Amber Bahorik
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Feng Xia
- NCIRE-The Veterans' Health Research Institute, San Francisco, CA, USA
| | - Carrie Peltz
- NCIRE-The Veterans' Health Research Institute, San Francisco, CA, USA
| | - Kristine Yaffe
- San Francisco VA Health Care System, San Francisco, CA, USA
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
- San Francisco Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology, University of California, San Francisco, San Francisco, CA, USA
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2
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Ingram SJ, Vazquez AY, Klump KL, Hyde LW, Burt SA, Clark SL. Associations of depression and anxiety symptoms in childhood and adolescence with epigenetic aging. J Affect Disord 2024; 352:250-258. [PMID: 38360371 PMCID: PMC11000694 DOI: 10.1016/j.jad.2024.02.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Childhood anxiety and depression symptoms are potential risk factors for accelerated biological aging. In child and adolescent twins, we tested whether these symptoms were associated with DNA methylation (DNAm) aging, a measure of biological aging. METHODS 276 twins (135 pairs, 6 singletons) had DNAm assayed from saliva in middle childhood (mean = 7.8 years). Residuals of five different DNAm age estimates regressed on chronological age were used to indicate accelerated aging. Anxiety and depression symptoms were assessed in middle childhood and early adolescence using the Child Behavior Checklist. Mixed effect regression was used to examine potential relationships between anxiety or depression symptoms, and accelerated DNAm age. MZ twin difference analysis was then utilized to determine if associations were environmentally-driven or due to genetic or shared-environment confounding. RESULTS Anxiety and depression symptoms were not associated with accelerated DNAm aging in middle childhood. In early adolescence, only the Wu clock was significant and indicated that each one symptom increase in anxiety symptoms had an associated age acceleration of 0.03 years (~0.4 months; p = 0.019). MZ twin difference analysis revealed non-significant within-pair effects, suggesting genetic and shared environmental influences. LIMITATIONS Sample is predominantly male and white. Generalizability to other populations may be limited. CONCLUSION Accelerated DNAm aging of the Wu clock in middle childhood is associated with anxiety, but not depression, symptoms in early adolescence. Further, this association may be the result of shared genetic and environmental influences. Accelerated DNAm aging may serve as an early risk factor or predictor of later anxiety symptoms.
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Affiliation(s)
- Sarah J Ingram
- Interdisciplinary Graduate Program in Genetics, Department of Psychiatry & Behavioral Sciences, Texas A&M University, United States of America
| | - Alexandra Y Vazquez
- Department of Psychology, Michigan State University, United States of America
| | - Kelly L Klump
- Department of Psychology, Michigan State University, United States of America
| | - Luke W Hyde
- Department of Psychology, University of Michigan, United States of America
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, United States of America
| | - Shaunna L Clark
- Department of Psychiatry & Behavioral Sciences, Texas A&M University, United States of America.
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3
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Knisely MR, Masese RV, Mathias JG, Yang Q, Hatch D, Lê BM, Luyster F, Garrett ME, Tanabe PJ, Shah NR, Ashley-Koch A. Epigenetic Aging Associations With Psychoneurological Symptoms and Social Functioning in Adults With Sickle Cell Disease. Biol Res Nurs 2024:10998004241250322. [PMID: 38679469 DOI: 10.1177/10998004241250322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Objective: Sickle cell disease (SCD), the most common inherited blood disorder in the United States, is associated with severe psychoneurological symptoms. While epigenetic age acceleration has been linked to psychoneurological symptom burden in other diseases, this connection is unexplored in SCD. This study aimed to assess the association between epigenetic age acceleration and psychoneurological symptom burden in SCD. Methods: In this cross-sectional study, emotional impact, pain impact, sleep impact, social functioning, and cognitive function were assessed in 87 adults living with SCD. DNA methylation data were generated from blood specimens and used to calculate epigenetic age using five clocks (Horvath, Hannum, PhenoAge, GrimAge, & DunedinPACE). Associations between epigenetic age acceleration and symptoms were assessed. Results: The sample (N = 87) had a mean (SD) chronologic age was 30.6 (8.1) years. Epigenetic age acceleration was associated with several symptom outcomes. GrimAge age acceleration (β = -0.49, p = .03) and increased DunedinPACE (β = -2.23, p = .004) were associated with worse emotional impact scores. PhenoAge (β = -0.32, p = .04) and the GrimAge (β = -0.48, p = .05) age acceleration were associated with worse pain impact scores. Increased DunedinPACE (β = -2.07 p = .04) were associated with worse sleep impact scores. Increased DunedinPACE (β = -2.87, p = .005) was associated with worse social functioning scores. We did not find associations between epigenetic age acceleration and cognitive function in this sample. Conclusion: Epigenetic age acceleration was associated with worse symptom experiences, suggesting the potential for epigenetic age acceleration as a biomarker to aid in risk stratification or targets for intervention to mitigate symptom burden in SCD.
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Affiliation(s)
| | - Rita V Masese
- Center for Bioethics, Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joacy G Mathias
- Division of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA
| | - Qing Yang
- Duke University School of Nursing, Durham, NC, USA
| | - Daniel Hatch
- Duke University School of Nursing, Durham, NC, USA
| | - Brandon M Lê
- Duke Molecular Physiology Institute, Durham, NC, USA
| | - Faith Luyster
- University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
| | | | | | - Nirmish R Shah
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Allison Ashley-Koch
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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4
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Miao K, Hong X, Cao W, Lv J, Yu C, Huang T, Sun D, Liao C, Pang Y, Hu R, Pang Z, Yu M, Wang H, Wu X, Liu Y, Gao W, Li L. Association between epigenetic age and type 2 diabetes mellitus or glycemic traits: A longitudinal twin study. Aging Cell 2024:e14175. [PMID: 38660768 DOI: 10.1111/acel.14175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 03/18/2024] [Accepted: 04/04/2024] [Indexed: 04/26/2024] Open
Abstract
Epigenetic clocks based on DNA methylation have been known as biomarkers of aging, including principal component (PC) clocks representing the degree of aging and DunedinPACE representing the pace of aging. Prior studies have shown the associations between epigenetic aging and T2DM, but the results vary by epigenetic age metrics and people. This study explored the associations between epigenetic age metrics and T2DM or glycemic traits, based on 1070 twins (535 twin pairs) from the Chinese National Twin Registry. It also explored the temporal relationships of epigenetic age metrics and glycemic traits in 314 twins (157 twin pairs) who participated in baseline and follow-up visits after a mean of 4.6 years. DNA methylation data were used to calculate epigenetic age metrics, including PCGrimAge acceleration (PCGrimAA), PCPhenoAge acceleration (PCPhenoAA), DunedinPACE, and the longitudinal change rate of PCGrimAge/PCPhenoAge. Mixed-effects and cross-lagged modelling assessed the cross-sectional and temporal relationships between epigenetic age metrics and T2DM or glycemic traits, respectively. In the cross-sectional analysis, positive associations were identified between DunedinPACE and glycemic traits, as well as between PCPhenoAA and fasting plasma glucose, which may be not confounded by shared genetic factors. Cross-lagged models revealed that glycemic traits (fasting plasma glucose, HbA1c, and TyG index) preceded DunedinPACE increases, and TyG index preceded PCGrimAA increases. Glycemic traits are positively associated with epigenetic age metrics, especially DunedinPACE. Glycemic traits preceded the increases in DunedinPACE and PCGrimAA. Lowering the levels of glycemic traits may reduce DunedinPACE and PCGrimAA, thereby mitigating age-related comorbidities.
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Affiliation(s)
- Ke Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Xuanming Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Runhua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Zengchang Pang
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - Min Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Wang
- Jiangsu Center for Disease Control and Prevention, Nanjing, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yu Liu
- Heilongjiang Center for Disease Control and Prevention, Harbin, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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5
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Tamman AJF, Koller D, Nagamatsu S, Cabrera-Mendoza B, Abdallah C, Krystal JH, Gelernter J, Montalvo-Ortiz JL, Polimanti R, Pietrzak RH. Psychosocial moderators of polygenic risk scores of inflammatory biomarkers in relation to GrimAge. Neuropsychopharmacology 2024; 49:699-708. [PMID: 37848731 PMCID: PMC10876568 DOI: 10.1038/s41386-023-01747-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/25/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023]
Abstract
GrimAge acceleration has previously predicted age-related morbidities and mortality. In the current study, we sought to examine how GrimAge is associated with genetic predisposition for systemic inflammation and whether psychosocial factors moderate this association. Military veterans from the National Health and Resilience in Veterans study, which surveyed a nationally representative sample of European American male veterans, provided saliva samples for genotyping (N = 1135). We derived polygenic risk scores (PRS) from the UK Biobank as markers of genetic predisposition to inflammation. Results revealed that PRS for three inflammatory PRS markers-HDL (lower), apolipoprotein B (lower), and gamma-glutamyl transferase (higher)-were associated with accelerated GrimAge. Additionally, these PRS interacted with a range of potentially modifiable psychosocial variables, such as exercise and gratitude, previously identified as associated with accelerated GrimAge. Using gene enrichment, we identified anti-inflammatory and antihistamine drugs that perturbate pathways of genes highly represented in the inflammatory PRS, laying the groundwork for future work to evaluate the potential of these drugs in mitigating epigenetic aging.
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Affiliation(s)
- Amanda J F Tamman
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA.
| | - Dora Koller
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Sheila Nagamatsu
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Chadi Abdallah
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Joel Gelernter
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Janitza L Montalvo-Ortiz
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
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6
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Lê BM, Hatch D, Yang Q, Shah N, Luyster FS, Garrett ME, Tanabe P, Ashley-Koch AE, Knisely MR. Characterizing epigenetic aging in an adult sickle cell disease cohort. Blood Adv 2024; 8:47-55. [PMID: 37967379 PMCID: PMC10784677 DOI: 10.1182/bloodadvances.2023011188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/20/2023] [Accepted: 11/09/2023] [Indexed: 11/17/2023] Open
Abstract
ABSTRACT Sickle cell disease (SCD) affects ∼100 000 predominantly African American individuals in the United States, causing significant cellular damage, increased disease complications, and premature death. However, the contribution of epigenetic factors to SCD pathophysiology remains relatively unexplored. DNA methylation (DNAm), a primary epigenetic mechanism for regulating gene expression in response to the environment, is an important driver of normal cellular aging. Several DNAm epigenetic clocks have been developed to serve as a proxy for cellular aging. We calculated the epigenetic ages of 89 adults with SCD (mean age, 30.64 years; 60.64% female) using 5 published epigenetic clocks: Horvath, Hannum, PhenoAge, GrimAge, and DunedinPACE. We hypothesized that in chronic disease, such as SCD, individuals would demonstrate epigenetic age acceleration, but the results differed depending on the clock used. Recently developed clocks more consistently demonstrated acceleration (GrimAge, DunedinPACE). Additional demographic and clinical phenotypes were analyzed to explore their association with epigenetic age estimates. Chronological age was significantly correlated with epigenetic age in all clocks (Horvath, r = 0.88; Hannum, r = 0.89; PhenoAge, r = 0.85; GrimAge, r = 0.88; DunedinPACE, r = 0.34). The SCD genotype was associated with 2 clocks (PhenoAge, P = .02; DunedinPACE, P < .001). Genetic ancestry, biological sex, β-globin haplotypes, BCL11A rs11886868, and SCD severity were not associated. These findings, among the first to interrogate epigenetic aging in adults with SCD, demonstrate epigenetic age acceleration with recently developed epigenetic clocks but not older-generation clocks. Further development of epigenetic clocks may improve their predictive ability and utility for chronic diseases such as SCD.
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Affiliation(s)
- Brandon M. Lê
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | | | - Qing Yang
- School of Nursing, Duke University, Durham, NC
| | - Nirmish Shah
- Department of Medicine, Division of Pediatric Hematology/Oncology, Duke University, Durham, NC
| | | | - Melanie E. Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | | | | | - Allison E. Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
- Department of Medicine, Duke University Medical Center, Durham, NC
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7
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Dutta S, Goodrich JM, Dolinoy DC, Ruden DM. Biological Aging Acceleration Due to Environmental Exposures: An Exciting New Direction in Toxicogenomics Research. Genes (Basel) 2023; 15:16. [PMID: 38275598 PMCID: PMC10815440 DOI: 10.3390/genes15010016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 01/27/2024] Open
Abstract
Biological clock technologies are designed to assess the acceleration of biological age (B-age) in diverse cell types, offering a distinctive opportunity in toxicogenomic research to explore the impact of environmental stressors, social challenges, and unhealthy lifestyles on health impairment. These clocks also play a role in identifying factors that can hinder aging and promote a healthy lifestyle. Over the past decade, researchers in epigenetics have developed testing methods that predict the chronological and biological age of organisms. These methods rely on assessing DNA methylation (DNAm) levels at specific CpG sites, RNA levels, and various biomolecules across multiple cell types, tissues, and entire organisms. Commonly known as 'biological clocks' (B-clocks), these estimators hold promise for gaining deeper insights into the pathways contributing to the development of age-related disorders. They also provide a foundation for devising biomedical or social interventions to prevent, reverse, or mitigate these disorders. This review article provides a concise overview of various epigenetic clocks and explores their susceptibility to environmental stressors.
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Affiliation(s)
- Sudipta Dutta
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Dana C Dolinoy
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Douglas M Ruden
- C. S. Mott Center for Human Health and Development, Department of Obstetrics and Gynecology, Institute of Environmental Health Sciences, Wayne State University, Detroit, MI 48202, USA
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8
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Katrinli S, Smith AK, Drury SS, Covault J, Ford JD, Singh V, Reese B, Johnson A, Scranton V, Fall P, Briggs-Gowan M, Grasso DJ. Cumulative stress, PTSD, and emotion dysregulation during pregnancy and epigenetic age acceleration in Hispanic mothers and their newborn infants. Epigenetics 2023; 18:2231722. [PMID: 37433036 DOI: 10.1080/15592294.2023.2231722] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 05/23/2023] [Accepted: 06/26/2023] [Indexed: 07/13/2023] Open
Abstract
Pregnancy can exacerbate or prompt the onset of stress-related disorders, such as post-traumatic stress disorder (PTSD). PTSD is associated with heightened stress responsivity and emotional dysregulation, as well as increased risk of chronic disorders and mortality. Further, maternal PTSD is associated with gestational epigenetic age acceleration in newborns, implicating the prenatal period as a developmental time period for the transmission of effects across generations. Here, we evaluated the associations between PTSD symptoms, maternal epigenetic age acceleration, and infant gestational epigenetic age acceleration in 89 maternal-neonatal dyads. Trauma-related experiences and PTSD symptoms in mothers were assessed during the third trimester of pregnancy. The MethylationEPIC array was used to generate DNA methylation data from maternal and neonatal saliva samples collected within 24 h of infant birth. Maternal epigenetic age acceleration was calculated using Horvath's multi-tissue clock, PhenoAge and GrimAge. Gestational epigenetic age was estimated using the Haftorn clock. Maternal cumulative past-year stress (GrimAge: p = 3.23e-04, PhenoAge: p = 9.92e-03), PTSD symptoms (GrimAge: p = 0.019), and difficulties in emotion regulation (GrimAge: p = 0.028) were associated with accelerated epigenetic age in mothers. Maternal PTSD symptoms were associated with lower gestational epigenetic age acceleration in neonates (p = 0.032). Overall, our results suggest that maternal cumulative past-year stress exposure and trauma-related symptoms may increase the risk for age-related problems in mothers and developmental problems in their newborns.
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Affiliation(s)
- Seyma Katrinli
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
- Department of Psychiatry & Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Stacy S Drury
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jonathan Covault
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | - Julian D Ford
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Vijender Singh
- Computational Biology Core, University of Connecticut, School of Medicine, Storrs, CT, USA
| | - Bo Reese
- Center for Genome Innovation, University of Connecticut, Storrs, CT, USA
| | - Amy Johnson
- Obstetrics & Gynecology, Hartford Hospital, Hartford, CT, USA
| | - Victoria Scranton
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Pamela Fall
- Clinical Research Center Core Laboratory, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Margaret Briggs-Gowan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Damion J Grasso
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
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9
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Harvanek ZM, Boks MP, Vinkers CH, Higgins-Chen AT. The Cutting Edge of Epigenetic Clocks: In Search of Mechanisms Linking Aging and Mental Health. Biol Psychiatry 2023; 94:694-705. [PMID: 36764569 PMCID: PMC10409884 DOI: 10.1016/j.biopsych.2023.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Individuals with psychiatric disorders are at increased risk of age-related diseases and early mortality. Recent studies demonstrate that this link between mental health and aging is reflected in epigenetic clocks, aging biomarkers based on DNA methylation. The reported relationships between epigenetic clocks and mental health are mostly correlational, and the mechanisms are poorly understood. Here, we review recent progress concerning the molecular and cellular processes underlying epigenetic clocks as well as novel technologies enabling further studies of the causes and consequences of epigenetic aging. We then review the current literature on how epigenetic clocks relate to specific aspects of mental health, such as stress, medications, substance use, health behaviors, and symptom clusters. We propose an integrated framework where mental health and epigenetic aging are each broken down into multiple distinct processes, which are then linked to each other, using stress and schizophrenia as examples. This framework incorporates the heterogeneity and complexity of both mental health conditions and aging, may help reconcile conflicting results, and provides a basis for further hypothesis-driven research in humans and model systems to investigate potentially causal mechanisms linking aging and mental health.
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Affiliation(s)
- Zachary M Harvanek
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Marco P Boks
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University of Utrecht, Utrecht, the Netherlands
| | - Christiaan H Vinkers
- Department of Psychiatry, Amsterdam University Medical Center, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Albert T Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Pathology, Yale University School of Medicine, New Haven, Connecticut.
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Zannas AS, Linnstaedt SD, An X, Stevens JS, Harnett NG, Roeckner AR, Oliver KI, Rubinow DR, Binder EB, Koenen KC, Ressler KJ, McLean SA. Epigenetic aging and PTSD outcomes in the immediate aftermath of trauma. Psychol Med 2023; 53:7170-7179. [PMID: 36951141 DOI: 10.1017/s0033291723000636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
BACKGROUND Psychological trauma exposure and posttraumatic stress disorder (PTSD) have been associated with advanced epigenetic age. However, whether epigenetic aging measured at the time of trauma predicts the subsequent development of PTSD outcomes is unknown. Moreover, the neural substrates underlying posttraumatic outcomes associated with epigenetic aging are unclear. METHODS We examined a multi-ancestry cohort of women and men (n = 289) who presented to the emergency department (ED) after trauma. Blood DNA was collected at ED presentation, and EPIC DNA methylation arrays were used to assess four widely used metrics of epigenetic aging (HorvathAge, HannumAge, PhenoAge, and GrimAge). PTSD symptoms were evaluated longitudinally at the time of ED presentation and over the ensuing 6 months. Structural and functional neuroimaging was performed 2 weeks after trauma. RESULTS After covariate adjustment and correction for multiple comparisons, advanced ED GrimAge predicted increased risk for 6-month probable PTSD diagnosis. Secondary analyses suggested that the prediction of PTSD by GrimAge was driven by worse trajectories for intrusive memories and nightmares. Advanced ED GrimAge was also associated with reduced volume of the whole amygdala and specific amygdala subregions, including the cortico-amygdaloid transition and the cortical and accessory basal nuclei. CONCLUSIONS Our findings shed new light on the relation between biological aging and trauma-related phenotypes, suggesting that GrimAge measured at the time of trauma predicts PTSD trajectories and is associated with relevant brain alterations. Furthering these findings has the potential to enhance early prevention and treatment of posttraumatic psychiatric sequelae.
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Affiliation(s)
- Anthony S Zannas
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Stress Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xinming An
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Nathaniel G Harnett
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Alyssa R Roeckner
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Katelyn I Oliver
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - David R Rubinow
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Karestan C Koenen
- Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Harvard University, Boston, MA, USA
| | - Kerry J Ressler
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Samuel A McLean
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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11
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Hawn SE, Zhao X, Miller MW, Wallander S, Govan C, Stone A, Schichman SA, Logue MW, Wolf EJ. PTSD and Alcohol Use Disorders Predict the Pace of Cellular Aging. JOURNAL OF MOOD AND ANXIETY DISORDERS 2023; 3:100026. [PMID: 37900051 PMCID: PMC10602583 DOI: 10.1016/j.xjmad.2023.100026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Advanced epigenetic age is associated with psychopathology and may help to explain the link between psychopathology and physical health morbidity and mortality. Using a longitudinal sample of 171 trauma-exposed Veterans, we modeled the rate of change in epigenetic age across two time points (averaging 5.58 years apart) using two epigenetic age algorithms (GrimAge and Horvath) and tested associations with posttraumatic stress disorder (PTSD), alcohol use disorder (AUD), and depression. Results showed that PTSD (β = .199) and AUD (β = .186) were associated with a quickened pace of epigenetic aging over time (ps < .021). Results replicate and extend prior work and offer foundational support for identifying interventions that slow the pace of biological aging among those with psychopathology.
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Affiliation(s)
- Sage E. Hawn
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Old Dominion University, Department of Psychology, Norfolk, VA, USA
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Mark W. Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Sara Wallander
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Christine Govan
- MAVERIC Central Biorepository, VA Boston Healthcare System, Boston, MA, USA
| | - Anjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven A. Schichman
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Mark W. Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Department of Medicine, Biomedical Genetics, Boston, MA, USA
| | - Erika J. Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
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12
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Sumner JA, Gao X, Gambazza S, Dye CK, Colich NL, Baccarelli AA, Uddin M, McLaughlin KA. Stressful life events and accelerated biological aging over time in youths. Psychoneuroendocrinology 2023; 151:106058. [PMID: 36827906 PMCID: PMC10364461 DOI: 10.1016/j.psyneuen.2023.106058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/20/2023]
Abstract
Experiencing adversity in childhood and adolescence, including stressful life events (SLEs), may accelerate the pace of development, leading to adverse mental and physical health. However, most research on adverse early experiences and biological aging (BA) in youths relies on cross-sectional designs. In 171 youths followed for approximately 2 years, we examined if SLEs over follow-up predicted rate of change in two BA metrics: epigenetic age and Tanner stage. We also investigated if rate of change in BA was associated with changes in depressive symptoms over time. Youths aged 8-16 years at baseline self-reported Tanner stage and depressive symptoms at baseline and follow-up and provided saliva samples for DNA at both assessments. Horvath epigenetic age estimates were derived from DNA methylation data measured with the Illumina EPIC array. At follow-up, contextual threat interviews were administered to youths and caregivers to assess youths' experiences of past-year SLEs. Interviews were objectively coded by an independent rating team to generate a SLE impact score, reflecting the severity of all SLEs occurring over the prior year. Rate of change in BA metrics was operationalized as change in epigenetic age or Tanner stage as a function of time between assessments. Higher objective SLE impact scores over follow-up were related to a greater rate of change in epigenetic age (β = 0.21, p = .043). Additionally, among youths with lower-but not higher-Tanner stage at baseline, there was a positive association of SLE impact scores with rate of change in Tanner stage (Baseline Tanner Stage × SLE Impact Score interaction: β = - 0.21, p = .011). A greater rate of change in epigenetic age was also associated with higher depressive symptom levels at follow-up, adjusting for baseline symptoms (β = 0.15, p = .043). Associations with epigenetic age were similar, although slightly attenuated, when adjusting for epithelial (buccal) cell proportions. Whereas much research in youths has focused on severe experiences of early adversity, we demonstrate that more commonly experienced SLEs during adolescence may also contribute to accelerated BA. Further research is needed to understand the long-term consequences of changes in BA metrics for health.
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Affiliation(s)
- Jennifer A Sumner
- Department of Psychology, University of California, Los Angeles, Psychology Building 1285, Box 951563, Los Angeles, CA 90095, USA.
| | - Xu Gao
- Department of Occupational and Environmental Health Sciences, Peking University, Xueyuan Rd. 38, Haidian District, Beijing, China; Department of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 W. 168th Street, New York, NY 10032, USA
| | - Simone Gambazza
- Department of Clinical Sciences and Community Health, University of Milan, via Celoria 22, 20133 Milan, Italy; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Healthcare Professions Department, via Francesco Sforza, 35, 20122 Milan, Italy
| | - Christian K Dye
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 W. 168th Street, New York, NY 10032, USA
| | - Natalie L Colich
- Department of Psychology, Harvard University, William James Hall, 1270, 33 Kirkland Street, Cambridge, MA 02138, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, 722 W. 168th Street, New York, NY 10032, USA
| | - Monica Uddin
- Genomics Program, University of South Florida, College of Public Health, 12901 Bruce B. Downs Blvd, Tampa, FL 33612, USA
| | - Katie A McLaughlin
- Department of Psychology, Harvard University, William James Hall, 1270, 33 Kirkland Street, Cambridge, MA 02138, USA
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13
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Yusupov N, Dieckmann L, Erhart M, Sauer S, Rex-Haffner M, Kopf-Beck J, Brückl TM, Czamara D, Binder EB. Transdiagnostic evaluation of epigenetic age acceleration and burden of psychiatric disorders. Neuropsychopharmacology 2023:10.1038/s41386-023-01579-3. [PMID: 37069357 PMCID: PMC10354057 DOI: 10.1038/s41386-023-01579-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 03/15/2023] [Accepted: 03/28/2023] [Indexed: 04/19/2023]
Abstract
Different psychiatric disorders as well as exposure to adverse life events have individually been associated with multiple age-related diseases and mortality. Age acceleration in different epigenetic clocks can serve as biomarker for such risk and could help to disentangle the interplay of psychiatric comorbidity and early adversity on age-related diseases and mortality. We evaluated five epigenetic clocks (Horvath, Hannum, PhenoAge, GrimAge and DunedinPoAm) in a transdiagnostic psychiatric sample using epigenome-wide DNA methylation data from peripheral blood of 429 subjects from two studies at the Max Planck Institute of Psychiatry. Burden of psychiatric disease, represented by a weighted score, was significantly associated with biological age acceleration as measured by GrimAge and DunedinPoAm (R2-adj. 0.22 and 0.33 for GrimAge and DunedinPoAm, respectively), but not the other investigated clocks. The relation of burden of psychiatric disease appeared independent of differences in socioeconomic status and medication. Our findings indicate that increased burden of psychiatric disease may associate with accelerated biological aging. This highlights the importance of medical management of patients with multiple psychiatric comorbidities and the potential usefulness of specific epigenetic clocks for early detection of risk and targeted intervention to reduce mortality in psychiatric patients.
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Affiliation(s)
- Natan Yusupov
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany.
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany.
| | - Linda Dieckmann
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Mira Erhart
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Susann Sauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Monika Rex-Haffner
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Johannes Kopf-Beck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
- Department of Psychology, Ludwig Maximilian University of Munich, Munich, Germany
| | - Tanja M Brückl
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
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14
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Lawrence KA, Rippey CS, Welikson B, Pietrzak RH, Adams TG. Interactive association of posttraumatic stress disorder, apolipoprotein ε4 genotype, and age on cognitive functioning. Int J Geriatr Psychiatry 2023; 38:e5888. [PMID: 36757293 PMCID: PMC10168127 DOI: 10.1002/gps.5888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 01/26/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND The ε4 allele of the apolipoprotein (APOE) gene and posttraumatic stress disorder (PTSD) are associated with cognitive deficits. Both associations may vary depending on age. No previous study has examined a possible three-way interaction between APOE ε4, PTSD, and age on cognitive functioning. METHODS Data were analyzed from 1244 European-American U.S. military veterans who participated in the 2011 National Health and Resilience in Veterans Study (NHRVS). Analyses of covariance were used to examine the main effects and interactions of APOE ε4, PTSD, and age on learning/working memory (LWM) and attention/psychomotor (APM) performance. RESULTS A significant three-way interaction between APOE ε4, PTSD, and age on the LWM composite (ηp 2 = 0.011) was observed such that the main effect of APOE ε4 on LWM was only significant for older participants with PTSD. A significant two-way interaction between PTSD and age on the APM composite (ηp 2 = 0.011) was observed such that the main effect of PTSD on APM was only significant in older participants. CONCLUSION Older APOE ε4 carriers with probable PTSD showed poorer LWM performance relative to other groups. Aging-related associations on APM performance were most pronounced in veterans with PTSD. These data are preliminary evidence that identification and treatment of PTSD may be beneficial for individuals at risk for age-related cognitive impairment.
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Affiliation(s)
| | | | - Bianca Welikson
- University of Louisville, Department of Psychological and Brain Sciences
| | - Robert H. Pietrzak
- Yale School of Medicine, Department of Psychiatry
- Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System
- Yale School of Public Health, Department of Social and Behavioral Sciences
| | - Thomas G. Adams
- University of Kentucky, Department of Psychology
- Yale School of Medicine, Department of Psychiatry
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15
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Sumner JA, Cleveland S, Chen T, Gradus JL. Psychological and biological mechanisms linking trauma with cardiovascular disease risk. Transl Psychiatry 2023; 13:25. [PMID: 36707505 PMCID: PMC9883529 DOI: 10.1038/s41398-023-02330-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 01/18/2023] [Accepted: 01/20/2023] [Indexed: 01/28/2023] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death and disability worldwide, and experiences of psychological trauma have been associated with subsequent CVD onset. Identifying key pathways connecting trauma with CVD has the potential to inform more targeted screening and intervention efforts to offset elevated cardiovascular risk. In this narrative review, we summarize the evidence for key psychological and biological mechanisms linking experiences of trauma with CVD risk. Additionally, we describe various methodologies for measuring these mechanisms in an effort to inform future research related to potential pathways. With regard to mechanisms involving posttraumatic psychopathology, the vast majority of research on psychological distress after trauma and CVD has focused on posttraumatic stress disorder (PTSD), even though posttraumatic psychopathology can manifest in other ways as well. Substantial evidence suggests that PTSD predicts the onset of a range of cardiovascular outcomes in trauma-exposed men and women, yet more research is needed to better understand posttraumatic psychopathology more comprehensively and how it may relate to CVD. Further, dysregulation of numerous biological systems may occur after trauma and in the presence of posttraumatic psychopathology; these processes of immune system dysregulation and elevated inflammation, oxidative stress, mitochondrial dysfunction, renin-angiotensin system dysregulation, and accelerated biological aging may all contribute to subsequent cardiovascular risk, although more research on these pathways in the context of traumatic stress is needed. Given that many of these mechanisms are closely intertwined, future research using a systems biology approach may prove fruitful for elucidating how processes unfold to contribute to CVD after trauma.
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Affiliation(s)
- Jennifer A Sumner
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
| | - Shiloh Cleveland
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tiffany Chen
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jaimie L Gradus
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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16
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Segura ÀG, Prohens L, Mezquida G, Amoretti S, Bioque M, Ribeiro M, Gurriarán-Bas X, Rementería L, Berge D, Rodriguez-Jimenez R, Roldán A, Pomarol-Clotet E, Ibáñez A, Usall J, García-Portilla MP, Cuesta MJ, Parellada M, González-Pinto A, Berrocoso E, Bernardo M, Mas S, González-Díaz JM, Arbelo N, González-Peñas J, Pina-Camacho L, Diestre A, Selma J, Zorrilla I, López P, Trabsa A, Monserrat C, Sanchez-Pastor L, Nuñez-Doyle A, Fatjó-Vilas M, Sarró S, Butjosa A, Pardo M, López-Ilundain JM, Sánchez Torres AM, Saiz-Ruiz J, Ochoa-Mangado E, RIevero O, De-la-Cámara C, Echevarría RS, González-Blanco L. Epigenetic clocks in relapse after a first episode of schizophrenia. SCHIZOPHRENIA 2022; 8:61. [PMID: 35869075 PMCID: PMC9307769 DOI: 10.1038/s41537-022-00268-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/04/2022] [Indexed: 11/17/2022]
Abstract
The main objective of the present study was to investigate the association between several epigenetic clocks, covering different aspects of aging, with schizophrenia relapse evaluated over a 3-year follow-up period in a cohort of ninety-one first-episode schizophrenia patients. Genome-wide DNA methylation was profiled and four epigenetic clocks, including epigenetic clocks of chronological age, mortality and telomere length were calculated. Patients that relapsed during the follow-up showed epigenetic acceleration of the telomere length clock (p = 0.030). Shorter telomere length was associated with cognitive performance (working memory, r = 0.31 p = 0.015; verbal fluency, r = 0.28 p = 0.028), but no direct effect of cognitive function or symptom severity on relapse was detected. The results of the present study suggest that epigenetic age acceleration could be involved in the clinical course of schizophrenia and could be a useful marker of relapse when measured in remission stages.
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17
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Zhao X, Logue MW, Hawn SE, Neale ZE, Zhou Z, Huber BR, Miller MW, Wolf EJ. PTSD, major depression, and advanced transcriptomic age in brain tissue. Depress Anxiety 2022; 39:824-834. [PMID: 36281744 PMCID: PMC9729392 DOI: 10.1002/da.23289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/06/2022] [Accepted: 09/29/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Psychiatric disorders have been associated with advanced epigenetic age in DNA methylation, yet this relationship has not been studied in the brain transcriptome. We examined transcriptomic age using an RNA-based algorithm recently developed by Ren and Kuan ("RNAAgeCalc") and the associations between posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and alcohol use disorder with age-adjusted RNA age ("RNA age residuals") in three brain regions: dorsolateral prefrontal cortex, ventromedial prefrontal cortex (vmPFC), and motor cortex. METHODS RNA sequencing was used to measure gene expression in postmortem brain tissue from the VA National PTSD Brain Bank (n = 94; 59% male). RESULTS Linear models revealed that diagnoses of PTSD and/or MDD were positively associated with RNA age residuals in vmPFC only (p-adj = 0.012). Three genes in the RNAAgeCalc algorithm (KCNJ16, HYAL2, and CEBPB) were also differentially expressed in association with PTSD/MDD in vmPFC (p-adj = 6.45E-05 to 0.02). Enrichment analysis revealed that inflammatory and immune-related pathways were overrepresented (p-adj < 0.05) among the 43 genes in RNAAgeCalc that were also at least nominally associated with PTSD/MDD in vmPFC relative to the 448 RNAAgeCalc genes. Endothelial and mural cells were negatively associated with RNA age residuals in vmPFC (both p-adj = 0.028) and with PTSD/MDD (both p-adj = 0.017). CONCLUSIONS Results highlight the importance of inflammation and immune system dysregulation in the link between psychopathology and accelerated cellular aging and raise the possibility that blood-brain barrier degradation may play an important role in stress-related accelerated brain aging.
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Affiliation(s)
- Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Mark W. Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sage E. Hawn
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Zoe E. Neale
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Zhenwei Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Bertrand R. Huber
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Pathology and Laboratory Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | | | - Mark W. Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Erika J. Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
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18
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Erickson EN, Knight AK, Smith AK, Myatt L. Advancing understanding of maternal age: correlating epigenetic clocks in blood and myometrium. EPIGENETICS COMMUNICATIONS 2022; 2. [PMID: 36052275 PMCID: PMC9432845 DOI: 10.1186/s43682-022-00010-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Background: Advanced maternal age is currently a term defined by chronological age. However, a group of biomarkers known as epigenetic clocks, which can predict morbidity and mortality, has been used to estimate measures of biological aging. Uterine myometrial function during the process of parturition may be influenced by aging, as labor dystocia, unplanned intrapartum cesarean birth, and postpartum hemorrhage are more common in older individuals. The purpose of this study was to evaluate the use of epigenetic clocks in maternal myometrium and blood for predicting age and to evaluate the correlation of epigenetic age between the tissues. Results: We compared epigenetic age in blood and myometrial samples provided by women undergoing planned cesarean birth at term gestation. Chronological age ranged from 20 to 50 with a median (IQR) age of 35.5(8) years. The MethylationEPIC BeadChip was used to obtain DNA methylation data, and then epigenetic age was calculated using the Horvath, Hannum, GrimAge, and PhenoAge clocks. Spearman correlations of epigenetic age with chronological age were calculated. We tested the relationship of epigenetic age in maternal blood to epigenetic age in myometrium. Age acceleration, for each clock, was also correlated between tissues. Twenty-seven participants provided samples, and 21 matched specimens were included in the final analysis after quality control. Spearman correlation between maternal chronological age and epigenetic age were significant in three of the four clocks (pan-tissue Horvath, Hannum, and GrimAge), for both myometrium and blood samples. Correlations between blood epigenetic age and maternal age ranged from 0.72 to 0.87 (all p < 0.001). Correlations between myometrial epigenetic age and maternal age were also significant (0.62–0.70, p = 0.002), though lower than correlations seen in blood. Maternal blood epigenetic age also correlated with epigenetic age in myometrium with each of these three clocks 0.60 (p = 0.004, Horvath), 0.63 (p = 0.003, Hannum), and 0.80 (p < 0.001, GrimAge). GrimAge age acceleration had the highest correlation between tissues among the clocks (0.49, p = 0.02). Conclusions: Given the limited sample, this study provides insight into the potential use of epigenetic age derived from blood as a proxy for myometrial epigenetic age, which may be a useful biomarker in estimating myometrial biological age in relationship to myometrial dysfunction. GrimAge outperformed the other tested clocks in terms of concordance of epigenetic age and age acceleration between tissues; however, the Horvath and Hannum clocks may be useful depending on the outcome of interest in pregnancy.
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19
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Guo L, Ni Z, Wei G, Cheng W, Huang X, Yue W. Epigenome-wide DNA methylation analysis of whole blood cells derived from patients with GAD and OCD in the Chinese Han population. Transl Psychiatry 2022; 12:465. [PMID: 36344488 PMCID: PMC9640561 DOI: 10.1038/s41398-022-02236-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 10/14/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022] Open
Abstract
Generalized anxiety disorder (GAD) and obsessive-compulsive disorder (OCD) had high comorbidity and affected more than 44 million people around the world leading to a huge burden on health and economy. Here, we conducted an epigenome-wide DNA methylation study employing 93 patients with GAD, 65 patients with OCD, and 302 health controls, to explore epigenetic alterations associated with the onset and differences of GAD and OCD. We identified multiple differentially methylated positions (DMPs) and regions (DMRs): three DMP genes included RIOK3 (cg21515243, p = 8.00 × 10-10), DNASE2 (cg09379601, p = 1.10 × 10-9), and PSMB4 (cg01334186, p = 3.70 × 10-7) and two DMR genes USP6NL (p = 4.50 × 10-4) and CPLX1 (p = 6.95 × 10-4) were associated with the onset of GAD and OCD; three DMPs genes included LDLRAP1 (cg21400344, p = 4.40 × 10-12), ACIN1 (cg23712970, p = 2.98×10-11), and SCRT1 (cg25472897, p = 5.60 × 10-11) and three DMR genes WDR19 (p = 3.39 × 10-3), SYCP1 (p = 6.41 × 10-3), and FAM172A (p = 5.74 × 10-3) were associated with the differences between GAD and OCD. Investigation of epigenetic age and chronological age revealed a different epigenetic development trajectory of GAD and OCD. Conclusively, our findings which yielded robust models may aid in distinguishing patients from healthy controls (AUC = 0.90-0.99) or classifying patients with GAD and OCD (AUC = 0.89-0.99), and may power the precision medicine for them.
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Affiliation(s)
- Liangkun Guo
- grid.459847.30000 0004 1798 0615Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191 China ,grid.459847.30000 0004 1798 0615National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191 China ,grid.506261.60000 0001 0706 7839NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191 China
| | - Zhaojun Ni
- grid.459847.30000 0004 1798 0615Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191 China ,grid.459847.30000 0004 1798 0615National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191 China ,grid.506261.60000 0001 0706 7839NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191 China
| | - Guiming Wei
- Department of Neurology, Shandong Daizhuang Hospital, 272051 Jining, Shandong China
| | - Weiqiu Cheng
- grid.5510.10000 0004 1936 8921NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Xuebing Huang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China. .,National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. .,NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191, China.
| | - Weihua Yue
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China. .,National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. .,NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191, China. .,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China. .,Chinese Institute for Brain Research, Beijing, 102206, China.
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20
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Beydoun MA, Beydoun HA, Noren Hooten N, Maldonado AI, Weiss J, Evans MK, Zonderman AB. Epigenetic clocks and their association with trajectories in perceived discrimination and depressive symptoms among US middle-aged and older adults. Aging (Albany NY) 2022; 14:5311-5344. [PMID: 35776531 PMCID: PMC9320538 DOI: 10.18632/aging.204150] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/01/2022] [Indexed: 11/30/2022]
Abstract
Background: Perceived discrimination may be associated with accelerated aging later in life, with depressive symptoms acting as potential mediator. Methods: A nationally representative sample of older adults was used [Health and Retirement Study 2010–2016, Age: 50–100 y in 2016, N = 2,806, 55.6% female, 82.3% Non-Hispanic White (NHW)] to evaluate associations of perceived discrimination measures [Experience of discrimination or EOD; and Reasons for Perceived discrimination or RPD) and depressive symptoms (DEP)] with 13 DNAm-based measures of epigenetic aging. Group-based trajectory and four-way mediation analyses were used. Results: Overall, and mostly among female and NHW participants, greater RPD in 2010–2012 had a significant adverse total effect on epigenetic aging [2016: DNAm GrimAge, DunedinPoAm38 (MPOA), Levine (PhenoAge) and Horvath 2], with 20–50% of this effect being explained by a pure indirect effect through DEP in 2014–2016. Among females, sustained elevated DEP (2010–2016) was associated with greater LIN DNAm age (β ± SE: +1.506 ± 0.559, p = 0.009, reduced model), patterns observed for elevated DEP (high vs. low) for GrimAge and MPOA DNAm markers. Overall and in White adults, the relationship of the Levine clock with perceived discrimination in general (both EOD and RPD) was mediated through elevated DEP. Conclusions: Sustained elevations in DEP and RPD were associated with select biological aging measures, consistently among women and White adults, with DEP acting as mediator in several RPD-EPICLOCK associations.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA 22060, USA
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Ana I Maldonado
- Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD 21250, USA
| | - Jordan Weiss
- Department of Demography, University of California Berkeley, Berkeley, CA 94720, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD 21224, USA
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21
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Ryznar RJ, Phibbs L, Onat E, Van Winkle LJ. Epigenetic Regulation of Development, Cellular Differentiation, and Disease Progression/Protection in Adults. Cells 2022; 11:cells11121907. [PMID: 35741035 PMCID: PMC9221476 DOI: 10.3390/cells11121907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 06/10/2022] [Indexed: 11/25/2022] Open
Affiliation(s)
- Rebecca J. Ryznar
- Department of Biomedical Sciences, Rocky Vista University, Parker, CO 80134, USA
- Correspondence:
| | - Lacie Phibbs
- College of Osteopathic Medicine, Rocky Vista University, Parker, CO 80134, USA; (L.P.); (E.O.)
| | - Erin Onat
- College of Osteopathic Medicine, Rocky Vista University, Parker, CO 80134, USA; (L.P.); (E.O.)
| | - Lon J. Van Winkle
- Department of Medical Humanities, Rocky Vista University, 8401 S. Chambers Road, Parker, CO 80112, USA;
- Department of Biochemistry, Midwestern University, Downers Grove, IL 60515, USA
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22
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Lim S, Nzegwu D, Wright ML. The Impact of Psychosocial Stress from Life Trauma and Racial Discrimination on Epigenetic Aging-A Systematic Review. Biol Res Nurs 2022; 24:202-215. [PMID: 35102751 PMCID: PMC9096197 DOI: 10.1177/10998004211060561] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE The purpose of this review was to explore the effects of psychosocial stress from life trauma and racial discrimination on epigenetic aging. DESIGN A systematic review of the last 10 years was conducted using four databases: PubMed/MEDLINE, Web of Science, PsychInfo, and CINAHL. METHODS Articles were identified using the following terms: ([(DNA methylation) AND (epigenetic clock)] OR [(DNA methylation) AND (epigenetic age)]) AND (discrimination OR trauma)). Original research articles published in English measuring life trauma, post-traumatic stress, experience of discrimination, and epigenetic clocks or aging were analyzed using PRISMA guidelines. RESULTS Ten articles met inclusion criteria. The study sample size ranged from 96 to 1163 and most study populations had a mean age under 50 and included predominantly White male participants. One study identified accelerated epigenetic aging associated with discrimination using Hannum's clock; 33% of studies evaluating life trauma reported epigenetic age acceleration using GrimAge or Horvath's clock; 25% of studies evaluating childhood trauma reported epigenetic age acceleration using Horvath's clock; and 71% of studies assessing post-traumatic stress observed epigenetic age acceleration with all clocks, while one study reported deceleration using Horvath's clock. CONCLUSIONS The experiences of life trauma, post-traumatic stress, and discrimination may be associated with accelerated epigenetic aging that can be consistently detected using different epigenetic clocks. Additional studies inclusive of diverse populations and other psychosocial stressors are needed. RELEVANCE Nursing scholars and other health scientists who utilize epigenetic age acceleration to assess health risks may need to consider including psychosocial stressors in their studies as covariates.
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Affiliation(s)
- Sungju Lim
- 16168School of Nursing, The University of Texas at Austin, Austin, TX, USA
| | - Dumebi Nzegwu
- Department of Health and Society, 171769College of Liberal Arts, The University of Texas at Austin, Austin, TX, USA
| | - Michelle L Wright
- 16168School of Nursing, The University of Texas at Austin, Austin, TX, USA.,Department of Women's Health, 377659Dell Medical School, The University of Texas at Austin, Austin, TX, USA
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23
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Gupta S, Guleria RS, Szabo YZ. MicroRNAs as biomarker and novel therapeutic target for posttraumatic stress disorder in Veterans. Psychiatry Res 2021; 305:114252. [PMID: 34739954 PMCID: PMC8857765 DOI: 10.1016/j.psychres.2021.114252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/04/2021] [Accepted: 10/23/2021] [Indexed: 12/16/2022]
Abstract
Posttraumatic stress disorder (PTSD) is a common psychiatric disorder for military Veterans, characterized by hyperarousal, intrusive thoughts, flashbacks, hypervigilance, and distress after experiencing traumatic events. Some of the known physiological effects of PTSD include hypothalamic-pituitary-adrenal (HPA)-axis imbalance, a cortical function resulting in neuronal deficit and changes in behavior. Moreover, excessive discharge of inflammatory molecules and a dysregulated immune system are implicated in the pathophysiology of PTSD. Due to complex nature of this disorder, the biological underpinnings of PTSD remain inexplicable. Investigating novel biomarkers to understanding the pathogenesis of PTSD may reflect the underlying molecular network for therapeutic use and treatment. Circulatory microRNAs (miRNAs) and exosomes are evolving biomarkers that have shown a key role in psychiatric and neurological disorders including PTSD. Given the unique nature of combat trauma, as well as evidence that a large portion of Veterans do not benefit from frontline treatments, focus on veterans specifically is warranted. In the present review, we delineate the identification and role of several miRNAs in PTSD among veterans. An association of miRNA with HPA-axis regulation through FKBP5, a key modulator in PTSD is discussed as an emerging molecule in psychiatric diseases. We conclude that miRNAs may be used as circulatory biomarker detection in Veterans with PTSD.
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Affiliation(s)
- Sudhiranjan Gupta
- VISN 17 Center of Excellence for Research on Returning War Veterans, Biomarkers & Genetics Core, Central Texas Veterans Health Care System, 4800 Memorial Drive (151C), Waco, TX, 76711, USA.
| | - Rakeshwar S. Guleria
- VISN 17 Center of Excellence for Research on Returning War Veterans, Biomarkers & Genetics Core, Central Texas Veterans Health Care System, 4800 Memorial Drive (151C), Waco, Texas, 76711
| | - Yvette Z. Szabo
- VISN 17 Center of Excellence for Research on Returning War Veterans, Biomarkers & Genetics Core, Central Texas Veterans Health Care System, 4800 Memorial Drive (151C), Waco, Texas, 76711
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24
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Dammering F, Martins J, Dittrich K, Czamara D, Rex-Haffner M, Overfeld J, de Punder K, Buss C, Entringer S, Winter SM, Binder EB, Heim C. The pediatric buccal epigenetic clock identifies significant ageing acceleration in children with internalizing disorder and maltreatment exposure. Neurobiol Stress 2021; 15:100394. [PMID: 34621920 PMCID: PMC8482287 DOI: 10.1016/j.ynstr.2021.100394] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/26/2021] [Accepted: 09/09/2021] [Indexed: 01/15/2023] Open
Abstract
Background Studies reporting accelerated ageing in children with affective disorders or maltreatment exposure have relied on algorithms for estimating epigenetic age derived from adult samples. These algorithms have limited validity for epigenetic age estimation during early development. We here use a pediatric buccal epigenetic (PedBE) clock to predict DNA methylation-based ageing deviation in children with and without internalizing disorder and assess the moderating effect of maltreatment exposure. We further conduct a gene set enrichment analysis to assess the contribution of glucocorticoid signaling to PedBE clock-based results. Method DNA was isolated from saliva of 158 children [73 girls, 85 boys; mean age (SD) = 4.25 (0.8) years] including children with internalizing disorder and maltreatment exposure. Epigenetic age was estimated based on DNA methylation across 94 CpGs of the PedBE clock. Residuals of epigenetic age regressed against chronological age were contrasted between children with and without internalizing disorder. Maltreatment was coded in 3 severity levels and entered in a moderation model. Genome-wide dexamethasone-responsive CpGs were derived from an independent sample and enrichment of these CpGs within the PedBE clock was identified. Results Children with internalizing disorder exhibited significant acceleration of epigenetic ageing as compared to children without internalizing disorder (F1,147 = 6.67, p = .011). This association was significantly moderated by maltreatment severity (b = 0.49, 95% CI [0.073, 0.909], t = 2.322, p = .022). Children with internalizing disorder who had experienced maltreatment exhibited ageing acceleration relative to children with no internalizing disorder (1–2 categories: b = 0.50, 95% CI [0.170, 0.821], t = 3.008, p = .003; 3 or more categories: b = 0.99, 95% CI [0.380, 1.593], t = 3.215, p = .002). Children with internalizing disorder who were not exposed to maltreatment did not show epigenetic ageing acceleration. There was significant enrichment of dexamethasone-responsive CpGs within the PedBE clock (OR = 4.36, p = 1.65*10–6). Among the 94 CpGs of the PedBE clock, 18 (19%) were responsive to dexamethasone. Conclusion Using the novel PedBE clock, we show that internalizing disorder is associated with accelerated epigenetic ageing in early childhood. This association is moderated by maltreatment severity and may, in part, be driven by glucocorticoids. Identifying developmental drivers of accelerated epigenetic ageing after maltreatment will be critical to devise early targeted interventions.
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Affiliation(s)
- Felix Dammering
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany
| | - Jade Martins
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Katja Dittrich
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Dept. of Child & Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Berlin, Germany
| | - Darina Czamara
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Monika Rex-Haffner
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Judith Overfeld
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany
| | - Karin de Punder
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany
| | - Claudia Buss
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany.,University of California, Irvine, Development, Health, and Disease Research Program, Orange, CA, USA
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany.,University of California, Irvine, Development, Health, and Disease Research Program, Orange, CA, USA
| | - Sibylle M Winter
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Dept. of Child & Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Berlin, Germany
| | - Elisabeth B Binder
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Christine Heim
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany.,Dept. of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA
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25
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Abstract
Posttraumatic stress disorder (PTSD) is a complex mental disorder afflicting approximately 7% of the population. The diverse number of traumatic events and the wide array of symptom combinations leading to PTSD diagnosis contribute substantial heterogeneity to studies of the disorder. Genomic and complimentary-omic investigations have rapidly increased our understanding of the heritable risk for PTSD. In this review, we emphasize the contributions of genome-wide association, epigenome-wide association, transcriptomic, and neuroimaging studies to our understanding of PTSD etiology. We also discuss the shared risk between PTSD and other complex traits derived from studies of causal inference, co-expression, and brain morphological similarities. The investigations completed so far converge on stark contrasts in PTSD risk between sexes, partially attributed to sex-specific prevalence of traumatic experiences with high conditional risk of PTSD. To further understand PTSD biology, future studies should focus on detecting risk for PTSD while accounting for substantial cohort-level heterogeneity (e.g. civilian v. combat-exposed PTSD cases or PTSD risk among cases exposed to specific traumas), expanding ancestral diversity among study cohorts, and remaining cognizant of how these data influence social stigma associated with certain traumatic events among underrepresented minorities and/or high-risk populations.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veterans Administration Connecticut Healthcare System, West Haven, CT, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veterans Administration Connecticut Healthcare System, West Haven, CT, USA
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26
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Eagle SR, Collins MW, Dretsch MN, Uomoto JM, Connaboy C, Flanagan SD, Kontos AP. Network Analysis of Research on Mild Traumatic Brain Injury in US Military Service Members and Veterans During the Past Decade (2010-2019). J Head Trauma Rehabil 2021; 36:E345-E354. [PMID: 33741827 DOI: 10.1097/htr.0000000000000675] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To evaluate trends in the extant literature on mild traumatic brain injury (mTBI) in military service members and veterans using network analysis based on a comprehensive search of original, peer-reviewed research articles involving human participants published between January 1, 2010, and December 31, 2019. Specifically, we employed network analysis to evaluate associations in the following areas: (1) peer-reviewed journals, (2) authors, (3) organizations/institutions, and (4) relevant key words. PARTICIPANTS Included studies were published in peer-reviewed journals available on Web of Science database, using US military service members or veterans. DESIGN Bibliometric network analytical review. MAIN MEASURES Outcomes for each analysis included number of articles, citations, total link strength, and clusters. RESULTS The top publishing journals were (1) Journal of Head Trauma and Rehabilitation, (2) Military Medicine, (3) Brain Injury, (4) Journal of Neurotrauma, and (5) Journal of Rehabilitation Research and Development. The top publishing authors were (1) French, (2) Lange, (3) Cooper, (4) Vanderploeg, and (5) Brickell. The top research institutions were (1) Defense and Veterans Brain Injury Center, (2) Uniformed Services University of the Health Sciences, (3) University of California San Diego, (4) Walter Reed National Military Medical Center, and (5) Boston University. The top co-occurring key words in this analysis were (1) posttraumatic stress disorder (PTSD), (2) persistent postconcussion symptoms (PPCS), (3) blast injury, (4) postconcussion syndrome (PCS), and (5) Alzheimer's disease. CONCLUSIONS The results of this network analysis indicate a clear focus on veteran health, as well as investigations on chronic effects of mTBI. Research in civilian mTBI indicates that delaying treatment for symptoms and impairments related to mTBI may not be the most precise treatment strategy. Increasing the number of early, active, and targeted treatment trials in military personnel could translate to meaningful improvements in clinical practices for managing mTBI in this population.
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Affiliation(s)
- Shawn R Eagle
- Departments of Orthopaedic Surgery (Drs Eagle, Collins, and Kontos) and Sports Medicine and Nutrition (Drs Connaboy and Flanagan), University of Pittsburgh, Pittsburgh, Pennsylvania; UPMC Sports Medicine Concussion Program, Pittsburgh, Pennsylvania (Drs Collins and Kontos); US Army Medical Research Directorate-West, Walter Reed Army Institute of Research, Joint Base Lewis-McChord, Washington (Dr Dretsch); and VA Puget Sound Health Care System-American Lake Division, Tacoma, Washington (Dr Uomoto)
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27
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Diminich ED, Clouston SAP, Kranidis A, Kritikos M, Kotov R, Kuan P, Carr M, Bromet EJ, Luft BJ. Chronic Posttraumatic Stress Disorder and Comorbid Cognitive and Physical Impairments in World Trade Center Responders. J Trauma Stress 2021; 34:616-627. [PMID: 33219599 PMCID: PMC8137717 DOI: 10.1002/jts.22631] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 09/26/2020] [Accepted: 10/11/2020] [Indexed: 12/11/2022]
Abstract
Posttraumatic stress disorder (PTSD) has been linked to increased prevalence and incidence of cognitive and physical impairment. When comorbid, these conditions may be associated with poor long-term outcomes. We examined associations between chronic PTSD and symptom domains with cognitive and physical functioning in World Trade Center (WTC) responders nearly 20 years after the September 11, 2001, terrorist attacks. Participants included a cross-sectional sample of 4,815 responders who attended a monitoring program in 2015-2018. Montreal Cognitive Assessment scores less than 23 indicated cognitive impairment (CogI); Short Physical Performance Battery scores 9 or lower on a hand-grip test indicated physical impairment (PhysI). Comorbid cognitive/physical impairment (Cog/PhysI) was defined as having cognitive impairment with at least one objective PhysI indicator. Clinical chart review provided PTSD diagnoses; symptom domains were assessed using the PTSD Checklist. Participants were on average 53.05 years (SD = 8.01); 13.44% had PTSD, 7.8% had CogI, 24.8% had PhysI, and 5.92% had comorbid Cog/PhysI. Multivariable-adjusted multinomial logistic regression demonstrated that Responders with PTSD have more than three times the risk of Cog/PhysI (adjusted RR = 3.29, 95% CI 2.44- 4.44). Domain-specific analyses revealed that emotional numbing symptoms predicted an increased risk of PhysI (adjusted RR = 1.57, 95% CI 1.08-2.28), whereas reexperiencing symptoms were associated with comorbid Cog/PhysI (adjusted RR = 3.96, 95% CI, 2.33-6.74). These results suggest that responders with chronic PTSD may have increased risk of deficits beyond age-expected impairment characterized by the emergence of comorbid Cog/PhysI at midlife.
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Affiliation(s)
- Erica D. Diminich
- Program in Public HealthRenaissance School of Medicine at Stony Brook University Stony BrookNew YorkUSA
| | - Sean A. P. Clouston
- Program in Public HealthRenaissance School of Medicine at Stony Brook University Stony BrookNew YorkUSA
| | | | - Minos Kritikos
- Program in Public HealthRenaissance School of Medicine at Stony Brook University Stony BrookNew YorkUSA
| | - Roman Kotov
- Department of PsychiatryRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Peifen Kuan
- Department of Applied Mathematics and StatisticsStony Brook UniversityStony BrookNew YorkUSA
| | - Melissa Carr
- World Trade Center Responder Health and Wellness ProgramDepartment of MedicineRenaissance School of Medicine at Stony Brook UniversityStony BrookNYUSA
| | - Evelyn J. Bromet
- Department of PsychiatryRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Benjamin J. Luft
- World Trade Center Responder Health and Wellness ProgramDepartment of MedicineRenaissance School of Medicine at Stony Brook UniversityStony BrookNYUSA
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28
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Kuan PF, Ren X, Clouston S, Yang X, Jonas K, Kotov R, Bromet E, Luft BJ. PTSD is associated with accelerated transcriptional aging in World Trade Center responders. Transl Psychiatry 2021; 11:311. [PMID: 34031357 PMCID: PMC8144188 DOI: 10.1038/s41398-021-01437-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/04/2021] [Accepted: 05/12/2021] [Indexed: 11/09/2022] Open
Abstract
Posttraumatic stress disorder (PTSD) is associated with shortened lifespan and healthspan, which suggests accelerated aging. Emerging evidence suggests that methylation age may be accelerated in PTSD. It is important to examine whether transcriptional age is also accelerated because transcriptome is highly dynamic, associated with age-related outcomes, and may offer greater insight into the premature aging in PTSD. This study is the first reported investigation of the relationship between transcriptional age and PTSD. Using RNA-Seq data from our previous study on 324 World Trade Center responders (201 never had PTSD, 81 with current PTSD, and 42 with past PTSD), as well as a transcriptional age calculator (RNAAgeCalc) recently developed by our group, we found that responders with current PTSD, compared with responders without a PTSD diagnosis, showed accelerated transcriptional aging (p = 0.0077) after adjustment for chronological age and race. We compared our results to the epigenetic aging results computed from several epigenetic clock calculators on matching DNA methylation data. GrimAge methylation age acceleration was also associated with PTSD diagnosis (p = 0.0097), and the results remained significant after adjustment for the proportions of immune cell types. PhenoAge, Hannum, and Horvath methylation age acceleration were not reliably related to PTSD. Both epigenetic and transcriptional aging may provide biological insights into the mechanisms underpinning aging in PTSD.
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Affiliation(s)
- Pei-Fen Kuan
- grid.36425.360000 0001 2216 9681Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY USA
| | - Xu Ren
- grid.36425.360000 0001 2216 9681Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY USA
| | - Sean Clouston
- Department of Family and Preventive Medicine, Stony Book University, Stony Brook, NY USA
| | - Xiaohua Yang
- grid.36425.360000 0001 2216 9681Department of Medicine, Stony Brook University, Stony Brook, NY USA
| | - Katherine Jonas
- Department of Psychiatry, Stony Book University, Stony Brook, NY USA
| | - Roman Kotov
- Department of Psychiatry, Stony Book University, Stony Brook, NY USA
| | - Evelyn Bromet
- Department of Psychiatry, Stony Book University, Stony Brook, NY USA
| | - Benjamin J. Luft
- grid.36425.360000 0001 2216 9681Department of Medicine, Stony Brook University, Stony Brook, NY USA
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Cerveira de Baumont A, Hoffmann MS, Bortoluzzi A, Fries GR, Lavandoski P, Grun LK, Guimarães LSP, Guma FTCR, Salum GA, Barbé-Tuana FM, Manfro GG. Telomere length and epigenetic age acceleration in adolescents with anxiety disorders. Sci Rep 2021; 11:7716. [PMID: 33833304 PMCID: PMC8032711 DOI: 10.1038/s41598-021-87045-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 03/16/2021] [Indexed: 02/01/2023] Open
Abstract
Evidence on the relationship between genetics and mental health are flourishing. However, few studies are evaluating early biomarkers that might link genes, environment, and psychopathology. We aimed to study telomere length (TL) and epigenetic age acceleration (AA) in a cohort of adolescents with and without anxiety disorders (N = 234). We evaluated a representative subsample of participants at baseline and after 5 years (n = 76) and categorized them according to their anxiety disorder diagnosis at both time points: (1) control group (no anxiety disorder, n = 18), (2) variable group (anxiety disorder in one evaluation, n = 38), and (3) persistent group (anxiety disorder at both time points, n = 20). We assessed relative mean TL by real-time quantitative PCR and DNA methylation by Infinium HumanMethylation450 BeadChip. We calculated AA using the Horvath age estimation algorithm and analyzed differences among groups using generalized linear mixed models. The persistent group of anxiety disorder did not change TL over time (p = 0.495). The variable group had higher baseline TL (p = 0.003) but no accelerated TL erosion in comparison to the non-anxiety control group (p = 0.053). Furthermore, there were no differences in AA among groups over time. Our findings suggest that adolescents with chronic anxiety did not change telomere length over time, which could be related to a delay in neuronal development in this period of life.
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Affiliation(s)
- Angelica Cerveira de Baumont
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil.
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil.
- Basic Research and Advanced Investigations in Neurosciences, BRAIN Laboratory, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil.
- Serviço de Psiquiatria, Hospital de Clínicas de Porto Alegre, HCPA, Rua Ramiro Barcelos, 2350-sala 400N, Rio Branco, Porto Alegre, RS, 90035-903, Brazil.
| | - Mauricio Scopel Hoffmann
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Departamento de Neuropsiquiatria, Universidade Federal de Santa Maria, Avenida Roraima 1000, Santa Maria, 97105-900, Brazil
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
- Instituto Nacional de Psiquiatria do Desenvolvimento para Crianças e Adolescentes (INPD), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Porto Alegre, RS, Brazil
| | - Andressa Bortoluzzi
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Graduate Program in Neuroscience, Institute of Basic Sciences/Health, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Basic Research and Advanced Investigations in Neurosciences, BRAIN Laboratory, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
| | - Gabriel R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), Houston, TX, USA
| | - Patrícia Lavandoski
- Graduate Program in Biochemistry, Laboratoy of Molecular Biology and Bioinformatics, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
| | - Lucas K Grun
- Group of Inflammation and Cellular Senescence, Graduate Program in Cellular and Molecular Biology, School of Sciences, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil
- Postgraduate Program in Pediatrics and Child Health, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Luciano S P Guimarães
- Unit of Epidemiology and Biostatistics, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
| | - Fátima T C R Guma
- Graduate Program in Biochemistry, Laboratoy of Molecular Biology and Bioinformatics, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
| | - Giovanni Abrahão Salum
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para Crianças e Adolescentes (INPD), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Porto Alegre, RS, Brazil
| | - Florencia M Barbé-Tuana
- Graduate Program in Biochemistry, Laboratoy of Molecular Biology and Bioinformatics, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Group of Inflammation and Cellular Senescence, Graduate Program in Cellular and Molecular Biology, School of Sciences, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil
| | - Gisele G Manfro
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Graduate Program in Neuroscience, Institute of Basic Sciences/Health, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Basic Research and Advanced Investigations in Neurosciences, BRAIN Laboratory, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para Crianças e Adolescentes (INPD), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Porto Alegre, RS, Brazil
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Wolf EJ, Chen CD, Zhao X, Zhou Z, Morrison FG, Daskalakis NP, Stone A, Schichman S, Grenier JG, Fein-Schaffer D, Huber BR, Abraham CR, Miller MW, Logue MW. Klotho, PTSD, and advanced epigenetic age in cortical tissue. Neuropsychopharmacology 2021; 46:721-730. [PMID: 33096543 PMCID: PMC8027437 DOI: 10.1038/s41386-020-00884-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/12/2020] [Accepted: 09/29/2020] [Indexed: 01/04/2023]
Abstract
This study examined the klotho (KL) longevity gene polymorphism rs9315202 and psychopathology, including posttraumatic stress disorder (PTSD), depression, and alcohol-use disorders, in association with advanced epigenetic age in three postmortem cortical tissue regions: dorsolateral and ventromedial prefrontal cortices and motor cortex. Using data from the VA National PTSD Brain Bank (n = 117), we found that rs9315202 interacted with PTSD to predict advanced epigenetic age in motor cortex among the subset of relatively older (>=45 years), white non-Hispanic decedents (corrected p = 0.014, n = 42). An evaluation of 211 additional common KL variants revealed that only variants in linkage disequilibrium with rs9315202 showed similarly high levels of significance. Alcohol abuse was nominally associated with advanced epigenetic age in motor cortex (p = 0.039, n = 114). The rs9315202 SNP interacted with PTSD to predict decreased KL expression via DNAm age residuals in motor cortex among older white non-Hispanics decedents (indirect β = -0.198, p = 0.027). Finally, in dual-luciferase enhancer reporter system experiments, we found that inserting the minor allele of rs9315202 in a human kidney cell line HK-2 genomic DNA resulted in a change in KL transcriptional activities, likely operating via long noncoding RNA in this region. This was the first study to examine multiple forms of psychopathology in association with advanced DNA methylation age across several brain regions, to extend work concerning the association between rs9315202 and advanced epigenetic to brain tissue, and to identify the effects of rs9315202 on KL gene expression. KL augmentation holds promise as a therapeutic intervention to slow the pace of cellular aging, disease onset, and neuropathology, particularly in older, stressed populations.
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Affiliation(s)
- Erika J Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA.
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA.
| | - Ci-Di Chen
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Zhenwei Zhou
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Filomene G Morrison
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | | | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven Schichman
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Jaclyn Garza Grenier
- Brigham and Women's Hospital, Channing Division of Network Medicine, Boston, MA, USA
| | - Dana Fein-Schaffer
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
| | - Bertrand R Huber
- Pathology and Laboratory Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Carmela R Abraham
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
| | - Mark W Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Mark W Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
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Roberts AL, Kubzansky LD, Chibnik LB, Rimm EB, Koenen KC. Association of Posttraumatic Stress and Depressive Symptoms With Mortality in Women. JAMA Netw Open 2020; 3:e2027935. [PMID: 33275156 PMCID: PMC7718604 DOI: 10.1001/jamanetworkopen.2020.27935] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 10/08/2020] [Indexed: 01/26/2023] Open
Abstract
Importance Consistent evidence has found associations between posttraumatic stress disorder (PTSD) and increased risk of chronic disease and greater prevalence of health risk factors. However, the association between PTSD and all-cause mortality has not been thoroughly investigated in civilians. Objective To investigate the association between PTSD symptoms, with or without comorbid depressive symptoms, and risk of death. Design, Setting, and Participants This prospective cohort study was conducted using data on female US nurses in the Nurses' Health Study II followed up from 2008 to 2017. Women who responded to a 2008 questionnaire querying PTSD and depressive symptoms were included. Data were analyzed from September 2018 to November 2020. Exposures Symptoms of PTSD, measured using the short screening scale for Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) PTSD, and depression symptoms, measured using the Center for Epidemiologic Studies Depression Scale-10 in 2008. Main Outcomes and Measures All-cause mortality was determined via National Death Index, US Postal Service, or report of participant's family. The hypothesis being tested was formulated after data collection. Trauma exposure and PTSD symptoms were jointly coded as no trauma exposure (reference), trauma and no PTSD symptoms, 1 to 3 PTSD symptoms (subclinical), 4 to 5 PTSD symptoms (moderate), and 6 to 7 PTSD symptoms (high). Results Among 51 602 women (50 137 [97.2%] White individuals), the mean (range) age was 53.3 (43-64) years at study baseline in 2008. PTSD and probable depression were comorbid; of 4019 women with high PTSD symptoms, 2093 women (52.1%) had probable depression, while of 10 105 women with no trauma exposure, 1215 women (12.0%) had probable depression. Women with high PTSD symptoms and probable depression were at nearly 4-fold greater risk of death compared with women with no trauma exposure and no depression (hazard ratio [HR], 3.80; 95% CI, 2.65-5.45; P < .001). After adjustment for health factors, women with these conditions had a more than 3-fold increased risk (HR, 3.11; 95% CI, 2.16-4.47, P < .001). Women with subclinical PTSD symptoms without probable depression had increased risk of death compared with women with no trauma exposure and no depression (HR, 1.43; 95% CI, 1.06-1.93; P = .02). Among 7565 women with PTSD symptoms and probable depression, 109 deaths (1.4%) occurred for which we obtained cause of death information, compared with 124 such deaths (0.6% ) among 22 215 women with no depression or PTSD symptoms. Women with PTSD symptoms and probable depression, compared with women with no PTSD or depression, had higher rates of death from cardiovascular disease (17 women [0.22%] vs 11 women [0.05%]; P < .001), diabetes (4 women [0.05%] vs 0 women; P < .001), unintentional injury (7 women [0.09%] vs 7 women [0.03%]; P = .03), suicide (9 women [0.12%] vs 1 woman [<0.01%]; P < .001), and other causes of death (14 women [0.19%] vs 17 women [0.08%]; P = .01). Conclusions and Relevance These findings suggest that at midlife, women with high PTSD symptoms and co-occurring probable depression are at increased risk of death compared with women without these disorders. Treatment of PTSD and depression in women with symptoms of both disorders and efforts to improve their health behaviors may reduce their increased risk of mortality.
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Affiliation(s)
| | | | - Lori B. Chibnik
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Eric B. Rimm
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Ryan J, Wrigglesworth J, Loong J, Fransquet PD, Woods RL. A Systematic Review and Meta-analysis of Environmental, Lifestyle, and Health Factors Associated With DNA Methylation Age. J Gerontol A Biol Sci Med Sci 2020; 75:481-494. [PMID: 31001624 DOI: 10.1093/gerona/glz099] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Indexed: 02/07/2023] Open
Abstract
DNA methylation (DNAm) algorithms of biological age provide a robust estimate of an individual's chronological age and can predict their risk of age-related disease and mortality. This study reviewed the evidence that environmental, lifestyle and health factors are associated with the Horvath and Hannum epigenetic clocks. A systematic search identified 61 studies. Chronological age was correlated with DNAm age in blood (median .83, range .13-.99). In a meta-analysis body mass index (BMI) was associated with increased DNAm age (Hannum β: 0.07, 95% CI 0.04 to 0.10; Horvath β: 0.06, 95% CI 0.02 to 0.10), but there was no association with smoking (Hannum β: 0.12, 95% CI -0.50 to 0.73; Horvath β:0.18, 95% CI -0.10 to 0.46). DNAm age was positively associated with frailty (three studies, n = 3,093), and education was negatively associated with the Hannum estimate of DNAm age specifically (four studies, n = 13,955). For most other exposures, findings were too inconsistent to draw conclusions. In conclusion, BMI was positively associated with biological aging measured using DNAm, with some evidence that frailty also increased aging. More research is needed to provide conclusive evidence regarding other exposures. This field of research has the potential to provide further insights into how to promote slower biological aging and ultimately prolong healthy life.
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Affiliation(s)
- Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,INSERM, Univ Montpellier, Neuropsychiatry, Epidemiological and Clinical Research, Montpellier, France
| | - Jo Wrigglesworth
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jun Loong
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Peter D Fransquet
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Robyn L Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Katrinli S, Stevens J, Wani AH, Lori A, Kilaru V, van Rooij SJH, Hinrichs R, Powers A, Gillespie CF, Michopoulos V, Gautam A, Jett M, Hammamieh R, Yang R, Wildman D, Qu A, Koenen K, Aiello AE, Jovanovic T, Uddin M, Ressler KJ, Smith AK. Evaluating the impact of trauma and PTSD on epigenetic prediction of lifespan and neural integrity. Neuropsychopharmacology 2020; 45:1609-1616. [PMID: 32380512 PMCID: PMC7421899 DOI: 10.1038/s41386-020-0700-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/17/2020] [Accepted: 04/29/2020] [Indexed: 01/08/2023]
Abstract
Post-traumatic stress disorder (PTSD) is a debilitating disorder that develops in some people following trauma exposure. Trauma and PTSD have been associated with accelerated cellular aging. This study evaluated the effect of trauma and PTSD on accelerated GrimAge, an epigenetic predictor of lifespan, in traumatized civilians. This study included 218 individuals with current PTSD, 427 trauma-exposed controls without any history of PTSD and 209 subjects with lifetime PTSD history who are not categorized as current PTSD cases. The Traumatic Events Inventory (TEI) and Clinician-Administered PTSD Scale (CAPS) were used to measure lifetime trauma burden and PTSD, respectively. DNA from whole blood was interrogated using the MethylationEPIC or HumanMethylation450 BeadChips. GrimAge estimates were calculated using the methylation age calculator. Cortical thickness of 69 female subjects was assessed by using T1-weighted structural MRI images. Associations between trauma exposure, PTSD, cortical thickness, and GrimAge acceleration were tested with multiple regression models. Lifetime trauma burden (p = 0.03), current PTSD (p = 0.02) and lifetime PTSD (p = 0.005) were associated with GrimAge acceleration, indicative of a shorter predicted lifespan. The association with lifetime PTSD was replicated in an independent cohort (p = 0.04). In the MRI sub sample, GrimAge acceleration also associated with cortical atrophy in the right lateral orbitofrontal cortex (padj = 0.03) and right posterior cingulate (padj = 0.04), brain areas associated with emotion-regulation and threat-regulation. Our findings suggest that lifetime trauma and PTSD may contribute to a higher epigenetic-based mortality risk. We also demonstrate a relationship between cortical atrophy in PTSD-relevant brain regions and shorter predicted lifespan.
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Affiliation(s)
- Seyma Katrinli
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Jennifer Stevens
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Agaz H Wani
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Adriana Lori
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Varun Kilaru
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Sanne J H van Rooij
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Rebecca Hinrichs
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Abigail Powers
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Charles F Gillespie
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Vasiliki Michopoulos
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Aarti Gautam
- Integrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, MD, USA
| | - Marti Jett
- Integrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, MD, USA
| | - Rasha Hammamieh
- Integrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, MD, USA
| | - Ruoting Yang
- Integrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, MD, USA
- The Geneva Foundation, Fort Detrick, MD, USA
| | - Derek Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Annie Qu
- Department of Statistics, University of Illinois, Champaign, IL, USA
| | - Karestan Koenen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Allison E Aiello
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tanja Jovanovic
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Kerry J Ressler
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
- Department of Psychiatry, McLean Hospital and Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA.
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA.
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Fries GR, Bauer IE, Scaini G, Valvassori SS, Walss-Bass C, Soares JC, Quevedo J. Accelerated hippocampal biological aging in bipolar disorder. Bipolar Disord 2020; 22:498-507. [PMID: 31746071 DOI: 10.1111/bdi.12876] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Evidence suggests accelerated aging mechanisms in bipolar disorder (BD), including DNA methylation (DNAm) aging in blood. However, it is unknown whether such mechanisms are also evident in the brain, in particular in association with other biological clocks. To investigate this, we interrogated genome-wide DNAm in postmortem hippocampus from 32 BD-I patients and 32 non-psychiatric controls group-matched for age and sex from the NIMH Human Brain Collection Core. METHODS DNAm age and epigenetic aging acceleration were estimated using the Horvath method. Telomere length (TL) and mitochondrial DNA (mtDNA) copy number were quantified by real-time PCR. Between-group differences were assessed by linear regression and univariate general linear models with age, sex, race, postmortem interval, tissue pH, smoking, and body mass index included as co-variates. RESULTS Groups did not differ for epigenetic aging acceleration when considering the entire sample. However, after splitting the sample by the median age, an epigenetic aging acceleration was detected in patients compared to controls among older subjects (P = .042). While TL did not differ between groups, a reduction in mtDNA copy number was observed in patients compared to controls (P = .047). In addition, significant correlations were observed between epigenetic aging acceleration and TL (r = -.337, P = .006), as well as between TL and mtDNA copy number (r = .274, P = .028). CONCLUSIONS Hippocampal aging may underlie neurocognitive dysfunctions observed in BD patients. Moreover, our results suggest a complex cross-talk between biological clocks in hippocampus that may underlie clinical manifestations of premature aging in BD.
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Affiliation(s)
- Gabriel R Fries
- Translational Psychiatry Program, Faillace Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Isabelle E Bauer
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Giselli Scaini
- Translational Psychiatry Program, Faillace Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Samira S Valvassori
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Faillace Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Jair C Soares
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.,Center of Excellence in Mood Disorders, Faillace Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joao Quevedo
- Translational Psychiatry Program, Faillace Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.,Center of Excellence in Mood Disorders, Faillace Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
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35
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Higgins-Chen AT, Boks MP, Vinkers CH, Kahn RS, Levine ME. Schizophrenia and Epigenetic Aging Biomarkers: Increased Mortality, Reduced Cancer Risk, and Unique Clozapine Effects. Biol Psychiatry 2020; 88:224-235. [PMID: 32199607 PMCID: PMC7368835 DOI: 10.1016/j.biopsych.2020.01.025] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 01/28/2020] [Accepted: 01/31/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Schizophrenia (SZ) is associated with increased all-cause mortality, smoking, and age-associated proteins, yet multiple previous studies found no association between SZ and biological age using Horvath's epigenetic clock, a well-established aging biomarker based on DNA methylation. However, numerous epigenetic clocks that may capture distinct aspects of aging have been developed. This study tested the hypothesis that altered aging in SZ manifests in these other clocks. METHODS We performed a comprehensive analysis of 14 epigenetic clocks categorized according to what they were trained to predict: chronological age, mortality, mitotic divisions, or telomere length. To understand the etiology of biological age differences, we also examined DNA methylation predictors of smoking, alcohol, body mass index, serum proteins, and cell proportions. We independently analyzed 3 publicly available multiethnic DNA methylation data sets from whole blood, a total of 567 SZ cases and 594 nonpsychiatric controls. RESULTS All data sets showed accelerations in SZ for the 3 mortality clocks up to 5 years, driven by smoking and elevated levels of 6 age-associated proteins. The 2 mitotic clocks were decelerated in SZ related to antitumor natural killer and CD8T cells, which may help explain conflicting reports about low cancer rates in epidemiological studies of SZ. One cohort with available medication data showed that clozapine is associated with male-specific decelerations up to 7 years in multiple chronological age clocks. CONCLUSIONS Our study demonstrates the utility of studying the various epigenetic clocks in tandem and highlights potential mechanisms by which mental illness influences long-term outcomes, including cancer and early mortality.
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Affiliation(s)
- Albert T Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
| | - Marco P Boks
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
| | - Christiaan H Vinkers
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands; Department of Anatomy and Neurosciences, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
| | - Morgan E Levine
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
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Wolf EJ, Logue MW, Zhao X, Daskalakis NP, Morrison FG, Escarfulleri S, Stone A, Schichman SA, McGlinchey RE, Milberg WP, Chen C, Abraham CR, Miller MW. PTSD and the klotho longevity gene: Evaluation of longitudinal effects on inflammation via DNA methylation. Psychoneuroendocrinology 2020; 117:104656. [PMID: 32438247 PMCID: PMC7293549 DOI: 10.1016/j.psyneuen.2020.104656] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 03/04/2020] [Accepted: 03/18/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Longevity gene klotho (KL) is associated with age-related phenotypes including lifespan, cardiometabolic disorders, cognition, and brain morphology, in part, by conferring protection against inflammation. We hypothesized that the KL/inflammation association might be altered in the presence of psychiatric stress and operate via epigenetic pathways. We examined KL polymorphisms, and their interaction with posttraumatic stress disorder (PTSD) symptoms, in association with KL DNA methylation in blood. We further examined KL DNA methylation as a predictor of longitudinal changes in a peripheral biomarker of inflammation (C-reactive protein; CRP). METHODS The sample comprised 309 white non-Hispanic military veterans (93.5 % male; mean age: 32 years, range: 19-65; 30 % PTSD per structured diagnostic interview); 111 were reassessed approximately two years later. RESULTS Analyses revealed a methylation quantitative trait locus at rs9527025 (C370S, previously implicated in numerous studies of aging) in association with a Cytosine-phosphate-Guanine site (cg00129557; B = -.65, p = 1.29 X 10-20), located within a DNase hypersensitivity site in the body of KL. There was also a rs9527025 x PTSD severity interaction (B = .004, p = .035) on methylation at this locus such that the minor allele was associated with reduced cg00129557 methylation in individuals with few or no PTSD symptoms while this effect was attenuated in those with elevated levels of PTSD. Path models revealed that methylation at cg00129557 was inversely associated with CRP over time (B = -.14, p = .005), controlling for baseline CRP. There was also an indirect effect of rs9527025 X PTSD on subsequent CRP via cg00129557 methylation (indirect B = -.002, p = .033). CONCLUSIONS Results contribute to our understanding of the epigenetic correlates of inflammation in PTSD and suggest that KL methylation may be a mechanism by which KL genotype confers risk vs. resilience to accelerated aging in those experiencing traumatic stress.
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Affiliation(s)
- Erika J. Wolf
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | - Mark W. Logue
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine,Biomedical Genetics, Boston University School of Medicine
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | | | - Filomene G. Morrison
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | | | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System
| | - Steven A. Schichman
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System
| | - Regina E. McGlinchey
- Geriatric Research Educational and Clinical Center and Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System,Department of Psychiatry, Harvard Medical School
| | - William P. Milberg
- Geriatric Research Educational and Clinical Center and Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System,Department of Psychiatry, Harvard Medical School
| | - Cidi Chen
- Department of Biochemistry, Boston University School of Medicine
| | - Carmela R. Abraham
- Department of Biochemistry, Boston University School of Medicine,Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine
| | - Mark W. Miller
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
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Kwiatkowska KM, Bacalini MG, Sala C, Kaziyama H, de Andrade DC, Terlizzi R, Giannini G, Cevoli S, Pierangeli G, Cortelli P, Garagnani P, Pirazzini C. Analysis of Epigenetic Age Predictors in Pain-Related Conditions. Front Public Health 2020; 8:172. [PMID: 32582603 PMCID: PMC7296181 DOI: 10.3389/fpubh.2020.00172] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 04/20/2020] [Indexed: 01/31/2023] Open
Abstract
Chronic pain prevalence is high worldwide and increases at older ages. Signs of premature aging have been associated with chronic pain, but few studies have investigated aging biomarkers in pain-related conditions. A set of DNA methylation (DNAm)-based estimates of age, called “epigenetic clocks,” has been proposed as biological measures of age-related adverse processes, morbidity, and mortality. The aim of this study is to assess if different pain-related phenotypes show alterations in DNAm age. In our analysis, we considered three cohorts for which whole-blood DNAm data were available: heat pain sensitivity (HPS), including 20 monozygotic twin pairs discordant for heat pain temperature threshold; fibromyalgia (FM), including 24 cases and 20 controls; and headache, including 22 chronic migraine and medication overuse headache patients (MOH), 18 episodic migraineurs (EM), and 13 healthy subjects. We used the Horvath's epigenetic age calculator to obtain DNAm-based estimates of epigenetic age, telomere length, levels of 7 proteins in plasma, number of smoked packs of cigarettes per year, and blood cell counts. We did not find differences in epigenetic age acceleration, calculated using five different epigenetic clocks, between subjects discordant for pain-related phenotypes. Twins with high HPS had increased CD8+ T cell counts (nominal p = 0.028). HPS thresholds were negatively associated with estimated levels of GDF15 (nominal p = 0.008). FM patients showed decreased naive CD4+ T cell counts compared with controls (nominal p = 0.015). The severity of FM manifestations expressed through various evaluation tests was associated with decreased levels of leptin, shorter length of telomeres, and reduced CD8+ T and natural killer cell counts (nominal p < 0.05), while the duration of painful symptoms was positively associated with telomere length (nominal p = 0.034). No differences in DNAm-based estimates were detected for MOH or EM compared with controls. In summary, our study suggests that HPS, FM, and MOH/EM do not show signs of epigenetic age acceleration in whole blood, while HPS and FM are associated with DNAm-based estimates of immunological parameters, plasma proteins, and telomere length. Future studies should extend these observations in larger cohorts.
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Affiliation(s)
| | | | - Claudia Sala
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy
| | - Helena Kaziyama
- Department of Neurology, Pain Center, LIM 62, University of São Paulo, São Paulo, Brazil
| | - Daniel Ciampi de Andrade
- Department of Neurology, Pain Center, LIM 62, University of São Paulo, São Paulo, Brazil.,Pain Center, Instituto do Câncer do Estado de São Paulo, São Paulo, Brazil
| | | | - Giulia Giannini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Sabina Cevoli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Giulia Pierangeli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Pietro Cortelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Department of Laboratory Medicine, Clinical Chemistry, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Applied Biomedical Research Center (CRBA), Policlinico S.Orsola-Malpighi Polyclinic, Bologna, Italy.,Unit of Bologna, CNR Institute of Molecular Genetics Luigi Luca Cavalli-Sforza, Bologna, Italy
| | - Chiara Pirazzini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
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Epigenetic Mechanisms in the Neurodevelopmental Theory of Depression. DEPRESSION RESEARCH AND TREATMENT 2020; 2020:6357873. [PMID: 32373361 PMCID: PMC7196148 DOI: 10.1155/2020/6357873] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 03/13/2020] [Accepted: 04/02/2020] [Indexed: 12/28/2022]
Abstract
The genome (genes), epigenome, and environment work together from the earliest stages of human life to produce a phenotype of human health or disease. Epigenetic modifications, including among other things: DNA methylation, modifications of histones and chromatin structure, as well as functions of noncoding RNA, are coresponsible for specific patterns of gene expression. This refers also to mental disorders, including depressive disorders. Early childhood experiences accompanied by severe stressors (considered a risk factor for depression in adult life) are linked with changes in gene expression. They include genes involved in a response to stress (hypothalamic-pituitary-adrenal axis, HPA), associated with autonomic nervous system hyperactivity and with cortical, and subcortical processes of neuroplasticity and neurodegeneration. These are, among others: gene encoding glucocorticoid receptor, FK506 binding protein 5 gene (FKBP5), gene encoding arginine vasopressin and oestrogen receptor alpha, 5-hydroxy-tryptamine transporter gene (SLC6A4), and gene encoding brain-derived neurotrophic factor. How about personality? Can the experiences unique to every human being, the history of his or her development and gene-environment interactions, through epigenetic mechanisms, shape the features of our personality? Can we pass on these features to future generations? Hence, is the risk of depression inherent in our biological nature? Can we change our destiny?
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Beydoun MA, Hossain S, Chitrala KN, Tajuddin SM, Beydoun HA, Evans MK, Zonderman AB. Association between epigenetic age acceleration and depressive symptoms in a prospective cohort study of urban-dwelling adults. J Affect Disord 2019; 257:64-73. [PMID: 31299406 PMCID: PMC6757325 DOI: 10.1016/j.jad.2019.06.032] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/07/2019] [Accepted: 06/29/2019] [Indexed: 01/07/2023]
Abstract
OBJECTIVE This study tests associations of DNA methylation-based (DNAm) measures of epigenetic age acceleration (EAA) with cross-sectional and longitudinal depressive symptoms in an urban sample of middle-aged adults. METHODS White and African-American adult participants in the Healthy Aging in Neighborhoods of Diversity across the Life Span study for whom DNA samples were analyzed (baseline age: 30-65 years) we included. We estimated three DNAm based EAA measures: (1) universal epigenetic age acceleration (AgeAccel); (2) intrinsic epigenetic age acceleration (IEAA); and (3) extrinsic epigenetic age acceleration (EEAA). Depressive symptoms were assessed using the 20-item Center for Epidemiological Studies-Depression scale total and sub-domain scores at baseline (2004-2009) and follow-up visits (2009-2013). Linear mixed-effects regression models were conducted, adjusting potentially confounding covariates, selection bias and multiple testing (N = 329 participants, ∼52% men, k = 1.9 observations/participant, mean follow-up time∼4.7 years). RESULTS None of the epigenetic age acceleration measures were associated with total depressive symptom scores at baseline or over time. IEAA - a measure of cellular epigenetic age acceleration irrespective of white blood cell composition - was cross-sectionally associated with decrement in "positive affect" in the total population (γ011± SE = -0.090 ± 0.030, P = 0.003, Cohen's D: -0.16) and among Whites (γ011 ± SE = -0.135 ± 0.048, P = 0.005, Cohen's D: -0.23), after correction for multiple testing. Baseline "positive affect" was similarly associated with AgeAccel. LIMITATIONS Limitations included small sample size, weak-moderate effects and measurement error. CONCLUSIONS IEAA and AgeAccel, two measures of EAA using Horvath algorithm, were linked to a reduced "positive affect", overall and among Whites. Future studies are needed to replicate our findings and test bi-directional relationships.
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Affiliation(s)
- May A. Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, United States,Corresponding author. (M.A. Beydoun)
| | - Sharmin Hossain
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, United States
| | - Kumaraswamy Naidu Chitrala
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, United States
| | - Salman M. Tajuddin
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, United States
| | - Hind A. Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, United States
| | - Michele K. Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, United States
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, United States
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Abstract
PURPOSE OF REVIEW Clinical, epidemiological, and biological evidence raises the possibility that serious mental disorders (SMDs) are associated with accelerated biological aging. To the extent this is true; SMDs should not simply be considered in terms of mental illness or brain dysfunction, but also as 'whole body' and multisystem illnesses, or else as conditions with significant somatic concomitants. RECENT FINDINGS The concept of accelerated biological aging in SMDs is supported by reports of accelerated changes in certain biomarkers normally associated with the aging process. SUMMARY We define and discuss several proposed biological aging markers that have been examined in SMDs, we review the most recent findings, and we conclude with opinions regarding the merits and meanings of these markers, their usefulness in understanding and treating SMDs, and remaining questions and future directions in this area of research.
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The goddess who spins the thread of life: Klotho, psychiatric stress, and accelerated aging. Brain Behav Immun 2019; 80:193-203. [PMID: 30872092 PMCID: PMC6660403 DOI: 10.1016/j.bbi.2019.03.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 02/27/2019] [Accepted: 03/09/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Longevity gene klotho (KL) is associated with age-related phenotypes but has not been evaluated against a direct human biomarker of cellular aging. We examined KL and psychiatric stress, including posttraumatic stress disorder (PTSD), which is thought to potentiate accelerated aging, in association with biomarkers of cellular aging. METHODS The sample comprised 309 white, non-Hispanic genotyped veterans with measures of epigenetic age (DNA methylation age), telomere length (n = 252), inflammation (C-reactive protein), psychiatric symptoms, metabolic function, and white matter neural integrity (diffusion tensor imaging; n = 185). Genotyping and DNA methylation were obtained on epi/genome-wide beadchips. RESULTS In gene by environment analyses, two KL variants (rs9315202 and rs9563121) interacted with PTSD severity (peak corrected p = 0.044) and sleep disturbance (peak corrected p = 0.034) to predict advanced epigenetic age. KL variant, rs398655, interacted with self-reported pain in association with slowed epigenetic age (corrected p = 0.048). A well-studied protective variant, rs9527025, was associated with slowed epigenetic age (p = 0.046). The peak PTSD interaction term (with rs9315202) also predicted C-reactive protein (p = 0.049), and white matter microstructural integrity in two tracts (corrected ps = 0.005 - 0.035). This SNP evidenced a main effect with an index of metabolic syndrome severity (p = 0.015). Effects were generally accentuated in older subjects. CONCLUSIONS Rs9315202 predicted multiple biomarkers of cellular aging such that psychiatric stress was more strongly associated with cellular aging in those with the minor allele. KL genotype may contribute to a synchronized pathological aging response to stress and could be a therapeutic target to alter the pace of cellular aging.
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Morrison FG, Logue MW, Guetta R, Maniates H, Stone A, Schichman SA, McGlinchey RE, Milberg WP, Miller MW, Wolf EJ. Investigation of bidirectional longitudinal associations between advanced epigenetic age and peripheral biomarkers of inflammation and metabolic syndrome. Aging (Albany NY) 2019; 11:3487-3504. [PMID: 31173577 PMCID: PMC6594822 DOI: 10.18632/aging.101992] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/20/2019] [Indexed: 06/09/2023]
Abstract
Epigenetic age estimations based on DNA methylation (DNAm) can predict human chronological age with a high level of accuracy. These DNAm age algorithms can also be used to index advanced cellular age, when estimated DNAm age exceeds chronological age. Advanced DNAm age has been associated with several diseases and metabolic and inflammatory pathology, but the causal direction of this association is unclear. The goal of this study was to examine potential bidirectional associations between advanced epigenetic age and metabolic and inflammatory markers over time in a longitudinal cohort of 179 veterans with a high prevalence of posttraumatic stress disorder (PTSD) who were assessed over the course of two years. Analyses focused on two commonly investigated metrics of advanced DNAm age derived from the Horvath (developed across multiple tissue types) and Hannum (developed in whole blood) DNAm age algorithms. Results of cross-lagged panel models revealed that advanced Hannum DNAm age at Time 1 (T1) was associated with increased (i.e., accounting for T1 levels) metabolic syndrome (MetS) severity at Time 2 (T2; p = < 0.001). This association was specific to worsening lipid panels and indicators of abdominal obesity (p = 0.001). In contrast, no baseline measures of inflammation or metabolic pathology were associated with changes in advanced epigenetic age over time. No associations emerged between advanced Horvath DNAm age and any of the examined biological parameters. Results suggest that advanced epigenetic age, when measured using an algorithm developed in whole blood, may be a prognostic marker of pathological metabolic processes. This carries implications for understanding pathways linking advanced epigenetic age to morbidity and mortality.
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Affiliation(s)
- Filomene G. Morrison
- National Center for PTSD at VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
| | - Mark W. Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
- Biomedical Genetics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Rachel Guetta
- National Center for PTSD at VA Boston Healthcare System, Boston, MA 02130, USA
| | - Hannah Maniates
- National Center for PTSD at VA Boston Healthcare System, Boston, MA 02130, USA
| | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR 72205, USA
| | - Steven A. Schichman
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR 72205, USA
| | - Regina E. McGlinchey
- Geriatric Research Educational and Clinical Center and Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - William P. Milberg
- Geriatric Research Educational and Clinical Center and Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Mark W. Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
| | - Erika J. Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA 02130, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
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Mellon SH, Bersani FS, Lindqvist D, Hammamieh R, Donohue D, Dean K, Jett M, Yehuda R, Flory J, Reus VI, Bierer LM, Makotkine I, Abu Amara D, Henn Haase C, Coy M, Doyle FJ, Marmar C, Wolkowitz OM. Metabolomic analysis of male combat veterans with post traumatic stress disorder. PLoS One 2019; 14:e0213839. [PMID: 30883584 PMCID: PMC6422302 DOI: 10.1371/journal.pone.0213839] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 03/02/2019] [Indexed: 12/26/2022] Open
Abstract
Posttraumatic stress disorder (PTSD) is associated with impaired major domains of psychology and behavior. Individuals with PTSD also have increased co-morbidity with several serious medical conditions, including autoimmune diseases, cardiovascular disease, and diabetes, raising the possibility that systemic pathology associated with PTSD might be identified by metabolomic analysis of blood. We sought to identify metabolites that are altered in male combat veterans with PTSD. In this case-control study, we compared metabolomic profiles from age-matched male combat trauma-exposed veterans from the Iraq and Afghanistan conflicts with PTSD (n = 52) and without PTSD (n = 51) (‘Discovery group’). An additional group of 31 PTSD-positive and 31 PTSD-negative male combat-exposed veterans was used for validation of these findings (‘Test group’). Plasma metabolite profiles were measured in all subjects using ultrahigh performance liquid chromatography/tandem mass spectrometry and gas chromatography/mass spectrometry. We identified key differences between PTSD subjects and controls in pathways related to glycolysis and fatty acid uptake and metabolism in the initial ‘Discovery group’, consistent with mitochondrial alterations or dysfunction, which were also confirmed in the ‘Test group’. Other pathways related to urea cycle and amino acid metabolism were different between PTSD subjects and controls in the ‘Discovery’ but not in the smaller ‘Test’ group. These metabolic differences were not explained by comorbid major depression, body mass index, blood glucose, hemoglobin A1c, smoking, or use of analgesics, antidepressants, statins, or anti-inflammatories. These data show replicable, wide-ranging changes in the metabolic profile of combat-exposed males with PTSD, with a suggestion of mitochondrial alterations or dysfunction, that may contribute to the behavioral and somatic phenotypes associated with this disease.
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Affiliation(s)
- Synthia H. Mellon
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, United States of America
- * E-mail:
| | - F. Saverio Bersani
- Department of Psychiatry and UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, United States of America
| | - Daniel Lindqvist
- Department of Psychiatry and UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, United States of America
| | - Rasha Hammamieh
- Integrative Systems Biology, US Army Medical Research and Materiel Command, USACEHR, Fort Detrick, Frederick, MD, United States of America
| | - Duncan Donohue
- Integrative Systems Biology, US Army Medical Research and Materiel Command, USACEHR, Fort Detrick, Frederick, MD, United States of America
| | - Kelsey Dean
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States of America
| | - Marti Jett
- Integrative Systems Biology, US Army Medical Research and Materiel Command, USACEHR, Fort Detrick, Frederick, MD, United States of America
| | - Rachel Yehuda
- Department of Psychiatry, James J. Peters VA Medical Center, Bronx, NY and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Janine Flory
- Department of Psychiatry, James J. Peters VA Medical Center, Bronx, NY and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Victor I. Reus
- Department of Psychiatry and UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, United States of America
| | - Linda M. Bierer
- Department of Psychiatry, James J. Peters VA Medical Center, Bronx, NY and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Iouri Makotkine
- Department of Psychiatry, James J. Peters VA Medical Center, Bronx, NY and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Duna Abu Amara
- Department of Psychiatry, New York University Langone Medical School, New York, NY, United States of America
| | - Clare Henn Haase
- Department of Psychiatry, New York University Langone Medical School, New York, NY, United States of America
| | - Michelle Coy
- Department of Psychiatry and UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, United States of America
| | - Francis J. Doyle
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States of America
| | - Charles Marmar
- Department of Psychiatry, New York University Langone Medical School, New York, NY, United States of America
- Stephen and Alexandra Cohen Veteran Center for Posttraumatic Stress and Traumatic Brain Injury, New York, NY, United States of America
| | - Owen M. Wolkowitz
- Department of Psychiatry and UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, United States of America
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Morrison FG, Miller MW, Logue MW, Assef M, Wolf EJ. DNA methylation correlates of PTSD: Recent findings and technical challenges. Prog Neuropsychopharmacol Biol Psychiatry 2019; 90:223-234. [PMID: 30503303 PMCID: PMC6314898 DOI: 10.1016/j.pnpbp.2018.11.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 11/14/2018] [Accepted: 11/16/2018] [Indexed: 12/22/2022]
Abstract
There is increasing evidence that epigenetic factors play a critical role in posttraumatic stress disorder (PTSD), by mediating the impact of environmental exposures to trauma on the regulation of gene expression. DNA methylation is one epigenetic process that has been highly studied in PTSD. This review will begin by providing an overview of DNA methylation (DNAm) methods, and will then highlight two major biological systems that have been identified in the epigenetic regulation in PTSD: (a) the immune system and (b) the stress response system. In addition to candidate gene approaches, we will review novel strategies to study epigenome-wide PTSD-related effects, including epigenome-wide algorithms that distill information from many loci into a single summary score (e.g., measures of "epigenetic age" which have been associated with PTSD). This review will also cover recent epigenome wide association studies (EWAS) of PTSD, and biological pathway models used to identify gene sets enriched in PTSD. Finally, we address technical and methodological advances and challenges to the field, and highlight exciting directions for future research.
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Affiliation(s)
- Filomene G. Morrison
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | - Mark W. Miller
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | - Mark W. Logue
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine,Biomedical Genetics, Boston University School of Medicine,Department of Biostatistics, Boston University School of Public Health
| | - Michele Assef
- Boston University College of Health & Rehabilitation Sciences: Sargent College
| | - Erika J. Wolf
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
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